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Washington, D.C.
Conference
AAAI 2023
February 7 - 14, 2023
Washington, DC

Overview

The purpose of the AAAI conference series is to promote research in Artificial Intelligence (AI) and foster scientific exchange between researchers, practitioners, scientists, students, and engineers across the entirety of AI and its affiliated disciplines.

Sponsorship Details

Platinum
Conference website
Related content
Booth 203-302
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Accepted publications

Workshops

AAAI 2023 Workshop on Creative AI Across Modalities
February 13
This workshop aims to bridge researchers and practitioners from NLP, computer vision, music, ML, and other computational fields to create the 1st workshop on “Creative AI across Modalities”.

Amazon organizers: Jing Huang, Arindam Mandal, Haw-Shiuan Chang

Website: https://creativeai-ws.github.io
Unveiling the power of self-attention for shipping cost prediction: The rate card transformer
P Aditya Sreekar, Sahil Verma, Varun Madhavan, Abhishek Persad
2023
Machine learning
Pick planning strategies for large-scale package manipulation
Shuai Li, Azarakhsh Keipour, Kevin Jamieson, Nicolas Hudson, Sicong Szhao, Charles Swan, Kostas Bekris
2023
Machine learning
Neural architecture search for parameter-efficient fine-tuning of large pre-trained language models
Neal Lawton, Anoop Kumar, Govind Thattai, Aram Galstyan, Greg Ver Steeg
2023
Conversational AI / Natural-language processing
Contrastive multimodal text generation for e-commerce brand advertising
Nikhil Madaan, Krishna Reddy Kesari, Manisha Verma, Shaunak Mishra, Tor Steiner
2023
Conversational AI / Natural-language processing
MNL-prophet: Sequential assortment selection under uncertainty
Vineet Goyal, Salal Humair, Orestis Papadigenopoulos, Assaf Zeevi
2023
Operations research and optimization
DocTr: Document transformer for structured information extraction in documents
Haofu Liao, Aruni RoyChowdhury, Weijian Li, Ankan Bansal, Yuting Zhang, Zhuowen Tu, Ravi Kumar Satzoda, R. Manmatha, Vijay Mahadevan
2023
Computer vision
Conversation style transfer using few-shot learning
Shamik Roy, Raphael Shu, Nikolaos Pappas, Elman Mansimov, Yi Zhang, Saab Mansour, Dan Roth
2023
Conversational AI / Natural-language processing
Privacy adhering machine un-learning in NLP
Vinayshekhar Bannihatti Kumar, Rashmi Gangadharaiah, Dan Roth
2023
Conversational AI / Natural-language processing
SQUARE: Automatic question answering evaluation using multiple positive and negative references
Matteo Gabburo, Siddhant Garg, Rik Koncel-Kedziorski, Alessandro Moschitti
2023
Conversational AI / Natural-language processing
ProVLA: Compositional image search with progressive vision-language alignment and multimodal fusion
Kevin Hu, Xinliang Zhu, Son Tran, Rene Vidal, Arnab Dhua
2023
Information and knowledge management
Lifting on-demand analysis to higher-order languages
Daniel Schoepe, David Seekatz, Ilina Stoilkovska, Sandro Stucki, Daniel Tattersall, Pauline Bolignano, Franco Raimondi, Bor-Yuh Evan Chang
2023
Automated reasoning
A novel method to detect instrumental music in a large scale music catalog
Jay Lee, Emanuele Coviello
2023
Machine learning
DiactTOD: Learning generalizable latent dialogue acts for controllable task-oriented dialogue systems
Qingyang Wu, James Gung, Raphael Shu, Yi Zhang
2023
Conversational AI / Natural-language processing
Improving isochronous machine translation with target factors and auxiliary counters
Proyag Pal, Brian Thompson, Yogesh Virkar, Prashant Mathur, Alexandra Chronopoulou, Marcello Federico
2023
Machine learning
Concept2Box: Joint geometric embeddings for learning two-view knowledge graphs
Zijie Huang, Daheng Wang, Binxuan Huang, Chenwei Zhang, Jingbo Shang, Yan Liang, Zhengyang Wang, Xian Li, Christos Faloutsos, Yizhou Sun, Wei Wang
2023
Machine learning
DistTGL: Distributed memory-based temporal graph neural network training
hongkuan zhou, Da Zheng, Xiang Song, George Karypis, Viktor Prasanna
2023
Machine learning
Object-centric multiple object tracking
Zixu Zhao, Jiaze Wang, Max Horn, Yizhuo Ding, Tong He, Zechen Bai, Dominik Zietlow, Carl-Johann Simon-Gabriel, Bing Shuai, Zhuowen Tu, Thomas Brox, Bernt Schiele, Yanwei Fu, Francesco Locatello, Zheng Zhang, Tianjun Xiao
2023
Computer vision
Rethinking amodal video segmentation from learning supervised signals with object-centric representation
Ke Fan, Jingshi Lei, Xuelin Qian, Miaopeng Yu, Tianjun Xiao, Tong He, Zheng Zhang, Yanwei Fu
2023
Machine learning
Coarse-to-fine amodal segmentation with shape prior
Jianxiong Gao, Xuelin Qian, Yikai Wang, Tianjun Xiao, Tong He, Zheng Zhang, Yanwei Fu
2023
Machine learning
Does anyone see the irony here? Analysis of perspective-aware model predictions in irony detection
Simona Frenda, Soda Marem Lo, Silvia Casola, Bianca Scarlini, Cristina Marco, Valerio Basile, Davide Bernardi
2023
Conversational AI / Natural-language processing
Supervised clustering loss for clustering-friendly sentence embeddings: An application to intent clustering
Giorgio Barnabo, Antonio Uva, Sandro Pollastrini, Chiara Rubagotti, Davide Bernardi
2023
Conversational AI / Natural-language processing
Grape: Practical and efficient graph-based executions for dynamic deep neural networks on GPUs
Bojian Zheng, Cody Yu, Jie Wang, Yaoyao Ding, Yizhi Liu, Yida Wang, Gennady Pekhimenko
2023
Cloud and systems
FashionNTM: Multi-turn fashion image retrieval via cascaded memory
Anwesan Pal, Sahil Wadhwa, Ayush Jaiswal, Xu Zhang, Yue Wu, Rakesh Chada, Pradeep Natarajan, Henrik I. Christensen
2023
Computer vision
HAL3D: Hierarchical active learning for fine-grained 3D part labeling
Fenggen Yu, Yiming Qian, Francisca Gil Ureta, Brian Jackson, Eric Bennett, Richard Zhang
2023
Machine learning
Cross-lingual knowledge distillation via flow-based voice conversion for robust polyglot text-to-speech
Dariusz Piotrowski, Renard Korzeniowski, Alessio Falai, Sebastian Cygert, Kamil Pokora, Georgi Tinchev, Ziyao Zhang, Kayoko Yanagisawa
2023
Conversational AI / Natural-language processing
Self-normalized off-policy estimators for ranking
Ben London, Alexander Buchholz, Giuseppe Di Benedetto, Jan Malte Lichtenberg, Yannik Stein, Thorsten Joachims
2023
Machine learning
A zero-shot approach for multi-user task-oriented dialog generation
Shiv Surya, Yohan Jo, Arijit Biswas, Alexandros Potamianos
2023
Conversational AI / Natural-language processing
Double clipping: Less-biased variance reduction in off-policy evaluation
Jan Malte Lichtenberg, Alexander Buchholz, Giuseppe Di Benedetto, Matteo Ruffini, Ben London
2023
Machine learning
TrendSpotter: Forecasting e-commerce product trends
Gayatri Ryali, Shreyas S, Sivaramakrishnan (Siva) Kaveri, Prakash Mandayam Comar
2023
Machine learning
Investigating the representation of open domain dialogue context for transformer models
Vishakh Padmakumar, Behnam Hedayatnia, Di Jin, Patrick Lange, Seokhwan Kim, Nanyun Peng, Yang Liu, Dilek Hakkani-Tür
2023
Conversational AI / Natural-language processing
Build faster with less: A journey to accelerate sparse model building for semantic matching in product search
Jiong Zhang, Yau-Shian Wang, Wei-Cheng Chang, Weilin Li, Jyun-Yu Jiang, Cho-Jui Hsieh, Hsiang-Fu Yu
2023
Machine learning
LPMLP-based framework for IPsec VPN cloud gateway with advanced network monitoring and issue resolution
Vinay Gugueoth
2023
Machine learning
Unsupervised open-vocabulary object localization in videos
Ke Fan, Zechen Bai, Tianjun Xiao, Dominik Zietlow, Max Horn, Zixu Zhao, Carl-Johann Simon-Gabriel, Mike Zheng Shou, Francesco Locatello, Bernt Schiele, Thomas Brox, Zheng Zhang, Yanwei Fu, Tong He
2023
Computer vision
MRQ: Support multiple quantization schemes through model re-quantization
Mansi Manohara, Sankalp Dayal, Tariq Afzal, Rahul Bakshi, Kah Kuen Fu
2023
Computer vision
Systems architecture for quantum random access memory
Shifan Xu, Connor Hann, Ben Foxman, Steven M. Girvin, Yongshan Ding
2023
Quantum technologies
Automated material properties extraction for enhanced beauty product discovery and makeup virtual try-on
Fatima Taheri Dezaki, Himanshu Arora, Rahul Suresh, Amin Banitalebi
2023
Machine learning
SkeleTR: Towards skeleton-based action recognition in the wild
Haodong Duan, Mingze Xu, Bing Shuai, Davide Modolo, Zhuowen Tu, Joe Tighe, Alessandro Bergamo
2023
Computer vision
Galois counter mode with secure short tags (GCM-SST)
Matthew Campagna, Alexander Maximov, John Preuß Mattsson
2023
Security, privacy, and abuse prevention
gSampler: General and efficient GPU-based graph sampling for graph learning
Ping Gong, Renjie Liu, Zunyao Mao, Zhenkun Cai, Xiao Yan, Cheng Li, Minjie Wang, Zhuozhao Li
2023
Cloud and systems
Towards greener yet powerful code generation via quantization: An empirical study
Xiaokai Wei, Sujan Gonugondla, Shiqi Wang, Wasi Ahmad, Baishakhi Ray, Haifeng Qian, Xiaopeng LI, Varun Kumar, Zijian Wang, Yuchen Tian, Qing Sun, Ben Athiwaratkun, Mingyue Shang, Murali Krishna Ramanathan, Parminder Bhatia, Bing Xiang
2023
Conversational AI / Natural-language processing
Partitioning strategies for distributed SMT solving
Amalee Wilson, Andres Noetzli, Andrew Reynolds, Byron Cook, Cesare Tinelli, Clark Barrett
2023
Automated reasoning
RREx-BoT: Remote referring expressions with a bag of tricks
Gunnar Sigurdsson, Jesse Thomason, Gaurav Sukhatme, Robinson Piramuthu
2023
Computer vision
LEMMA: Learning language-conditioned multi-robot manipulation
Steven Gong, Xiaofeng Gao, Qiaozi (QZ) Gao, Suhaila Shakiah, Govind Thattai, Gaurav Sukhatme
2023
Machine learning
Learning self-supervised user representations using contextualized mixture of experts in transformers
Surajit Chakrabarty, Rajat Agarwal, Agniva Som
2023
Machine learning
Message chains for distributed system verification
Federico Mora, Ankush Desai, Elizabeth Polgreen, Sanjit A. Seshia
2023
Cloud and systems
Pre-trained recommender systems: A causal perspective
Ziqian Lin, Hao Ding, Nghia Hoang, Branislav Kveton, Anoop Deoras, Hao Wang
2023
Machine learning
Contextual position bias estimation using a single stochastic logging policy
Giuseppe Di Benedetto, Alexander Buchholz, Ben London, Matej Jakimov, Yannik Stein, Jan Malte Lichtenberg, Vito Bellini, Matteo Ruffini
2023
Machine learning
Constraint programming models for depth-optimal qubit assignment and SWAP-based routing
Kyle Booth
2023
Operations research and optimization
Unbiased offline evaluation for learning to rank with business rules
Matej Jakimov, Alexander Buchholz, Yannik Stein, Thorsten Joachims
2023
Machine learning
Feedback-control based hierarchical multi-constraint ad campaign optimization
Niklas Karlsson
2023
Operations research and optimization
Detecting text-rich objects: OCR or object detection? A case study with stopwatch detection
Yarong Feng, Zongyi (Joe) Liu, Yuan Ling, Shunyan Luo, Shujing Dong, Shuyi Wang, Bruce Ferry
2023
Machine learning
Federated representation learning for automatic speech recognition
Guruprasad Viswanathan Ramesh, Gopinath (Nath) Chennupati, Milind Rao, Anit Kumar Sahu, Ariya Rastrow, Jasha Droppo
2023
Conversational AI / Natural-language processing
Multi-task learning for reduced popularity bias in multi-territory video recommendations
Phanideep Gampa, Farnoosh Javadi, Belhassen Bayar, Ainur Yessenalina
2023
Machine learning
Design principles of robust multi-armed bandit framework in video recommendations
Belhassen Bayar, Phanideep Gampa, Ainur Yessenalina, Zhen Wen
2023
Machine learning
Improving the accuracy of beauty product recommendations by assessing face illumination quality
Parnian Afshar, Jenny Yeon, Andriy Levitskyy, Rahul Suresh, Amin Banitalebi
2023
Computer vision
Development and validation of an accurate smartphone application for measuring waist-to-hip circumference ratio
Siddharth Choudhary, Ganesh Iyer, Brandon Smith, JinJin Li, Mark Sippel, Antonio Criminisi, Steven B. Heymsfield
2023
Computer vision
Impression-informed multi-behavior recommender system: A hierarchical graph attention approach
Dong Li, Divya Bhargavi, Vidya Sagar Ravipati
2023
Machine learning
Proactive and automatic detection of product misclassifications at massive scale
Ling Jiang, Xiaoyu Chu, Saaransh Gulati, Pulkit Garg, Andrew Borthwick, Gang Luo
2023
Machine learning
PRODIGY: Product design guidance at scale
Sambeet Tiady, Anirban Majumder, Deepak Gupta
2023
Machine learning
Alquist 5.0: Dialogue trees meet generative models. A novel approach for enhancing socialbot conversations
Czech Technical University in Prague
2023
Related: Alexa Prize SocialBot Grand Challenge 5 winners announced
Athena 3.0: Personalized multimodal chatbot with neuro-symbolic dialogue generators
University of California, Santa Cruz
2023
Related: Alexa Prize SocialBot Grand Challenge 5 winners announced
CharmBana: Progressive responses with real-time internet search for knowledge-powered conversations
University of Illinois at Urbana-Champaign
2023
Related: Alexa Prize SocialBot Grand Challenge 5 winners announced
Dialogue distillery: Crafting interpolable, interpretable, and introspectable dialogue from LLMs
Stanford University
2023
Related: Alexa Prize SocialBot Grand Challenge 5 winners announced
GauchoChat: Towards proactive, controllable, and personalized social conversation
University of California, Santa Barbara
2023
Related: Alexa Prize SocialBot Grand Challenge 5 winners announced
HOKIEBOT: Towards personalized open-domain chatbot with long-term dialogue management and customizable automatic evaluation
Virginia Tech
2023
Related: Alexa Prize SocialBot Grand Challenge 5 winners announced
From hybrid dialogers to neural responders
Stevens Institute of Technology
2023
Related: Alexa Prize SocialBot Grand Challenge 5 winners announced
Advancing open domain dialog: The Fifth Alexa Prize SocialBot Grand Challenge
Michael Johnston, Cris Flagg, Anna Gottardi, Sattvik Sahai, Yao Lu, Samyuth Sagi, Luke Dai, Prasoon Goyal, Behnam Hedayatnia, Lucy Hu, Di Jin, Patrick Lange, Shaohua Liu, Sijia Liu, Daniel Pressel, Hangjie Shi, Zhejia Yang, Chao Zhang, Desheng Zhang, Leslie Ball, Kate Bland, Shui Hu, Osman Ipek, James Jeun, Heather Rocker, Lavina Vaz, Akshaya Iyengar, Yang Liu, Arindam Mandal, Dilek Hakkani-Tür, Reza Ghanadan
2023
Related: Alexa Prize SocialBot Grand Challenge 5 winners announced
Tartan: An LLM driven socialbot
Carnegie Mellon University
2023
Related: Alexa Prize SocialBot Grand Challenge 5 winners announced
THAURUS: An innovative multimodal chatbot based on the next generation of conversational AI
Universidad Politécnica de Madrid
2023
Related: Alexa Prize SocialBot Grand Challenge 5 winners announced
Compositional taint analysis for enforcing security policies at scale
Subarno Banerjee, Siwei Cui, Michael Emmi, Antonio Filieri, Liana Hadarean, Peixuan Li, Linghui Luo, Goran Piskachev, Nicolás Rosner, Aritra Sengupta, Omer Tripp, Jingbo Wang
2023
Cloud and systems
Extended conversion: Capturing successful interactions in voice shopping
Elad Haramaty, Zohar Karnin, Arnon Lazerson, Liane Lewin-Eytan, Yoelle Maarek
2023
Machine learning
Voice conversion for Lombard speaking style with implicit and explicit acoustic feature conditioning
Dominika Woszczyk, Sam Ribeiro, Tom Merritt, Daniel Korzekwa
2023
Conversational AI / Natural-language processing
Generating product insights from community Q&A
Lital Kuchy, Ran Levy, Avihai Mejer, Noam Segev, Shunit Agmon, Miriam Farber
2023
Conversational AI / Natural-language processing
Searching for products in virtual reality: Understanding the impact of context and result presentation on user experience
Austin Ward, Sandeep Avula, Hao-Fei Cheng, Sheikh Sarwar, Vanessa Murdock, Eugene Agichtein
2023
Search and information retrieval
Disentangling user conversations with voice assistants for online shopping
Nikhita Vedula, Marcus Collins, Oleg Rokhlenko
2023
Conversational AI / Natural-language processing
Faithful low-resource data-to-text generation through cycle training
Zhuoer Wang, Marcus Collins, Nikhita Vedula, Simone Filice, Shervin Malmasi, Oleg Rokhlenko
2023
Conversational AI / Natural-language processing
Characterizing time spent in video object tracking annotation tasks: A study of task complexity in vehicle tracking
Amy Rechkemmer, Alex C. Williams, Matt Lease, Erran Li
2023
Machine learning
Linear spaces of meanings: Compositional structures in vision-language models
Matthew Trager, Pramuditha Perera, Luca Zancato, Alessandro Achille, Parminder Bhatia, Stefano Soatto
2023
Computer vision
Multi-agent reinforcement learning for resource allocation in large-scale robotic warehouse sortation centers
Yi Shen, Benjamin McClosky, Michael Zavlanos
2023
Robotics
Building and operating resilient transportation yards using simulation
Hafsa Mohsin, Jae Lee, Vamshi Suvarna
2023
Operations research and optimization
Towards geospatial foundation models via continual pretraining
Matias Mendieta, Boran Han, Xingjian Shi, Yi Zhu, Chen Chen
2023
Computer vision
Performance and failure cause estimation for machine learning systems in the wild
Xiruo Liu, Furqan Khan, Yue Niu, Pradeep Natarajan, Rinat Khaziev, Salman Avestimehr, Prateek Singhal
2023
Machine learning
Bias invariant approaches for improving word embedding fairness
Siyu Liao, Rongting Zhang, Barbara Poblete, Vanessa Murdock
2023
Conversational AI / Natural-language processing
G-STO: Sequential main shopping intention detection via graph-regularized stochastic transformer
Yuchen Zhuang, Xin Shen, Yan Zhao, Chaosheng Dong, Ming Wang, Jin Li, Chao Zhang
2023
Machine learning
Comparing normalizing flows and diffusion models for prosody and acoustic modelling in text-to-speech
Guangyang Zhang, Tom Merritt, Sam Ribeiro, Biel Tura Vecino, Kayoko Yanagisawa, Kamil Pokora, Abdelhamid Ezzerg, Sebastian Cygert, Ammar Abbas, Piotr Bilinski, Roberto Barra-Chicote, Daniel Korzekwa, Jaime Lorenzo Trueba
2023
Conversational AI / Natural-language processing
SAFE: Machine unlearning with shard graph
Yonatan Dukler, Ben Bowman, Alessandro Achille, Aditya Golatkar, Ashwin Swaminathan, Stefano Soatto
2023
Computer vision
UseClean: Learning from complex noisy labels in named entity recognition
Jinjin Tian, Kun Zhou, Meiguo Wang, Yu Zhang, Benjamin Yao, Xiaohu Liu, Edward Guo
2023
Conversational AI / Natural-language processing
SIDGAN: High-resolution dubbed video generation via shift-invariant learning
Urwa Muaz, Wondong Jang, Rohun Tripathi, santhosh Mani, Wenbin Ouyang, Ravi Teja Gadde, Baris Gecer, Sergio Elizondo, Reza Madad, Naveen Nair
2023
Computer vision
Non-compliant bandits
Branislav Kveton, Yi Liu, Matteo Kruijssen, Yisu Nie
2023
Machine learning
Extension of cloud computing to small satellites
Kathryn O’Donnell, Meghan Weber, Joy Fasnacht, Jeff Maynard, Margaret Cote, Shayn Hawthorne
2023
Cloud and systems
The story of AWS Glue
Mohit Saxena, Benjamin Sowell, Daiyan Alamgir, Nitin Bahadur, Bijay Bisht, Santosh Chandrachood, Chitti Keswani, G2 Krishnamoorthy, Austin Lee, Bohou Li, Zach Mitchell, Vaibhav Porwal, Maheedhar Reddy Chappidi, Brian Ross, Noritaka Sekiyama, Omer Zaki, Linchi Zhang, Mehul A. Shah
2023
Cloud and systems
MEGA: Multimodal alignment aggregation and distillation for cinematic video segmentation
Najmeh Sadoughi, Xinyu (Arthur) Li, Avijit Vajpayee, David Fan, Bing Shuai, Hector Santos, Vimal Bhat, Rohith Mysore Vijaya Kumar
2023
Computer vision
Motion-guided masking for spatiotemporal representation learning
David Fan, Jue Wang, Leo Liao, Yi Zhu, Vimal Bhat, Hector Santos, Rohith Mysore Vijaya Kumar, Xinyu (Arthur) Li
2023
Computer vision
LD-ZNet: A latent diffusion approach for text-based image segmentation
Koutilya PNVR, Bharat Singh, Pallabi Ghosh, Behjat Siddiquie, David Jacobs
2023
Computer vision
Nudging neural click prediction models to pay attention to position
Efi Karra, Wenjie Zhao, Iain Murray, Roberto Pellegrini
2023
Machine learning
Super-resolution video coding with additional residual data coding
Byeongdoo Choi, Andrew Segall, Kiran Misra
2023
Computer vision
Unsupervised multi-modal representation learning for high quality retrieval of similar products at e-commerce scale
Kushal Kumar, Tarik Arici, Tal Neiman, Jinyu Yang, Shioulin Sam, Yi Xu, Hakan Ferhatosmanoglu, Ismail Tutar
2023
Search and information retrieval
LAMM: Language aware active learning for multilingual models
Zack Ye, Dantong Liu, Kaushik Pavani, Sunny Dasgupta
2023
Machine learning
Enhancing catalog relationship problems with heterogeneous graphs and graph neural networks distillation
Boxin Du, Rob Barton, Grant Galloway, Junzhou Huang, Shioulin Sam, Ismail Tutar, Changhe Yuan
2023
Information and knowledge management
Predicting interaction quality of conversational assistants with spoken language understanding model confidences
Yue Gao, Enrico Piovano, Tamer Soliman, Monir Moniruzzaman, Anoop Kumar, Melanie Bradford, Subhrangshu Nandi
2023
Conversational AI / Natural-language processing
RT2S: A framework for learning with noisy labels
Indranil Bhattacharya, Zack Ye, Kaushik Pavani, Sunny Dasgupta
2023
Machine learning
Enhancing e-commerce product search through reinforcement learning-powered query reformulation
Sanjay Agrawal, Srujana Merugu, Vivek Sembium
2023
Machine learning
Progressive horizon learning: Adaptive long term optimization for personalized recommendation
Eric Yi, David Zumwalt, Zijian Ni, Shreya Chakrabarti
2023
Machine learning
Trending now: Modeling trend recommendations
Hao Ding, Branislav Kveton, Yifei Ma, Youngsuk Park, Venkataramana Kini, Yupeng Gu, Ravi Divvela, Fei Wang, Anoop Deoras, Hao Wang
2023
Related: Ensuring that customers don't miss out on trending products
Machine learning
Bidirectional alignment for domain adaptive detection with transformers
Liqiang He, Wei Wang, Albert Chen, Min Sun, Cheng-Hao Kuo, Sinisa Todorovic
2023
Computer vision
AutoGluon–TimeSeries: AutoML for probabilistic time series forecasting
Oleksandr Shchur, Caner Turkmen, Nick Erickson, Huibin Shen, Alexander Shirkov, Tony Hu, Bernie Wang
2023
Machine learning
Towards models that can see and read
Roy Ganz, Oren Nuriel, Aviad Aberdam, Yair Kittenplon, Shai Mazor, Ron Litman
2023
Computer vision
Structural pruning of large language models via neural architecture search
Aaron Klein, Jacek Golebiowski, Xingchen Ma, Valerio Perrone, Cédric Archambeau
2023
Conversational AI / Natural-language processing
Encoder-aware motion compensated temporal filtering for video compression
Rahul Vanam, Sriram Sethuraman
2023
Computer vision
Reinforcement learning for sampling on temporal medical imaging sequences
Zhishen Huang
2023
Computer vision
Question-context alignment and answer-context dependencies for effective answer sentence selection
Minh Van Nguyen, Kishan K C, Toan Nguyen, Thien Nguyen, Ankit Chadha, Thuy Vu
2023
Conversational AI / Natural-language processing
Efficient fine-tuning large language models for knowledge-aware response planning
Minh Nguyen, Kishan K C, Toan Nguyen, Ankit Chadha, Thuy Vu
2023
Conversational AI / Natural-language processing
ImGeoNet: Image-induced geometry-aware voxel representation for multi-view 3D object detection
Tao Tu, Shun-Po Chuang, Yu-Lun Liu, Cheng Sun, Ke Zhang, Donna Roy, Cheng-Hao Kuo, Min Sun
2023
Computer vision
Language models as controlled natural language semantic parsers for knowledge graph question answering
Jens Lehmann, Preetam Gattogi, Dhananjay Bhandiwad, Sébastien Ferré, Sahar Vahdat
2023
Conversational AI / Natural-language processing
Multi-view frequency-attention alternative to CNN frontends for automatic speech recognition
Belen Alastruey Lasheras, Lukas Drude, Jahn Heymann, Simon Wiesler
2023
Conversational AI / Natural-language processing
Uniform training and marginal decoding for multi-reference question-answer generation
Svitlana Vakulenko, Bill Byrne, Adrià de Gispert
2023
Conversational AI / Natural-language processing
FedMultimodal: A benchmark for multimodal federated learning
Tiantian Feng, Digbalay Bose, Tuo Zhang, Rajat Hebbar, Anil Ramakrishna, Rahul Gupta, Mi Zhang, Salman Avestimehr, Shrikanth Narayanan
2023
Security, privacy, and abuse prevention
Detecting robotic and compromised IPs in digital advertising
Rohit R R, Rakshith V, Agniva Som
2023
Machine learning
MERCY: Multiple ranking concurrently in realistic open-domain conversational systems
Sarik Ghazarian, Behnam Hedayatnia, Di Jin, Sijia Liu, Violet Peng, Yang Liu, Dilek Hakkani-Tür
2023
Conversational AI / Natural-language processing
RecQR: Using Recommendation Systems for Query Reformulation to correct unseen errors in spoken dialog systems
Manik Bhandari, Mingxian Wang, Oleg Poliannikov, Kanna Shimizu
2023
Conversational AI / Natural-language processing
Scaling generative pre-training for user ad activity sequences
Sharad Chitlangia, Krishna Reddy Kesari, Rajat Agarwal
2023
Machine learning
Learning explainable network request signatures for robot detection
Rajat Agarwal, Sharad Chitlangia, Anand Muralidhar, Adithya Niranjan, Abheesht Sharma, Koustav Sadhukhan, Suraj Satishkumar Sheth
2023
Machine learning
Flamingo: Environmental impact factor matching for life cycle assessment with zero-shot machine learning
Bharathan Balaji, Gargeya Vunnava, Nina Domingo, Shikhar Gupta, Harsh Gupta, Geoff Guest, Aravind Srinivasan
2023
Conversational AI / Natural-language processing
PADCLIP: Pseudo-labeling with adaptive debiasing in CLIP for unsupervised domain adaptation
Zhengfeng Lai, Sol Vesdapunt, Ning Zhou, Jun Wu, Cong Phuoc Huynh, Xuelu Li, Kah Kuen Fu, Chen-Nee Chuah
2023
Computer vision
Personalized federated domain adaptation for item-to-item recommendation
Ziwei Fan, Hao Ding, Anoop Deoras, Trong Nghia Hoang
2023
Information and knowledge management
OpportunityFinder: A framework for automated causal inference
Huy Nguyen, Prince Grover, Devashish Khatwani
2023
Economics
Learning to explore (L2E): Deep reinforcement learning-based autonomous exploration for household robot
Zuxin Liu, Mohit Deshpande, Tony Qi, Ding Zhao, Rajasimman Madhivanan, Arnie Sen
2023
Machine learning
SCRAPS: Speech contrastive representations of acoustic and phonetic spaces
Ivan Valles, Grzegorz Beringer, Piotr Bilinski, Gary Cook, Roberto Barra-Chicote
2023
Conversational AI / Natural-language processing
CLIPTER: Looking at the bigger picture in scene text recognition
Aviad Aberdam, David Haim Bensaid, Alona Golts, Roy Ganz, Oren Nuriel, Royee Tichauer, Shai Mazor, Ron Litman
2023
Computer vision
Neural insights for digital marketing content design
Fanjie Kong, Yuan Li, Houssam Nassif, Tanner Fiez, Ricardo Henao, Shreya Chakrabarti
2023
Computer vision
GAN-LM: Generative adversarial network using language models for downstream applications
Dae Yon Hwang, Yaroslav Nechaev, Cyprien delichy, Renxian Zhang
2023
Machine learning
Audio-enhanced text-to-video retrieval using text-conditioned feature alignment
Sarah Ibrahimi, Xiaohang Sun, Pichao Wang, Amanmeet Garg, Ashutosh Sanan, Mohamed Omar
2023
Computer vision
STREET: A multi-task structured reasoning and explanation benchmark
Danilo Neves Ribeiro, Shen Wang, Xiaofei Ma, Henry Zhu, Rui Dong, Deguang Kong, Juliette Burger, Anjelica Ramos, William Wang, Zhiheng Huang, George Karypis, Bing Xiang, Dan Roth
2023
Conversational AI / Natural-language processing
Graph-aware language model pre-training on a large graph corpus can help multiple graph applications
Han Xie, Da Zheng, Jun Ma, Houyu Zhang, Vasileios Ioannidis, Xiang Song, Qing Ping, sheng wang, Carl Yang, Yi Xu, Belinda Zeng, Trishul Chilimbi
2023
Information and knowledge management
Once-for-All Federated Learning: Learning from and deploying to heterogeneous clients
Kamala Varma, Enmao Diao, Tanya Roosta, Jie Ding, Tao Zhang
2023
Cloud and systems
Predicting cellular responses with variational causal inference and refined relational information
Yulun Wu, Robert A. Barton, Zichen Wang, Vasileios Ioannidis, Carlo de Donno, Layne Price, Luis F. Voloch, George Karypis
2023
Machine learning
Learning adaptive neighborhoods for graph neural networks
Avi Saha, Oscar Mendez, Chris Russell, Richard Bowden
2023
Computer vision
Evaluating the fairness of discriminative foundation models in computer vision
Junaid Ali, Matthaeus Kleindessner, Florian Wenzel, Kailash Budhathoki, Volkan Cevher, Chris Russell
2023
Machine learning
When do minimax-fair learning and empirical risk minimization coincide?
Harvineet Singh, Matthaeus Kleindessner, Volkan Cevher, Rumi Chunara, Chris Russell
2023
Machine learning
Causal information splitting: Engineering proxy features for robustness to distribution shifts
Bijan Mazaheri, Atalanti Mastakouri, Dominik Janzing, Mila Hardt
2023
Machine learning
On the usefulness of synthetic tabular data generation
Dionysis Manousakas, Sergul Aydore
2023
Machine learning
Sponsored brands video rings up clicks and sales in the short and long run
Koen Pauwels, Michael Peran, Zee Shah, German Schnaidt, Dauwe Vercamer
2023
Machine learning
Importance of synthesizing high-quality data for text-to-SQL parsing
Yiqun Hu, Yiyun Zhao, Jiarong Jiang, Wuwei Lan, Henry Zhu, Anuj Chauhan, Alexander Li, Lin Pan, Jun Wang, Chung-Wei Hang, Sheng Zhang, Jiang Guo, Marvin Dong, Joe Lilien, Patrick Ng, Zhiguo Wang, Vittorio Castelli, Bing Xiang
2023
Conversational AI / Natural-language processing
Dual cache for long document neural coreference resolution
Qipeng Guo, Xiangkun Hu, Yue Zhang, Xipeng Qiu, Zheng Zhang
2023
Conversational AI / Natural-language processing
Graph reasoning for question answering with triplet retrieval
Shiyang Li, Yifan Gao, Haoming Jiang, Qingyu Yin, Zheng Li, Xifeng Yan, Chao Zhang, Bing Yin
2023
Conversational AI / Natural-language processing
LightToken: A task and model-agnostic lightweight token embedding framework for pre-trained language models
Haoyu Wang, Ruirui Li, Haoming Jiang, Zhengyang Wang, Xianfeng Tang, Bin Bi, Monica Cheng, Bing Yin, Yaqing Wang, Tuo Zhao, Jing Gao
2023
Related: Compressing token-embedding matrices for language models
Information and knowledge management
A metric-driven approach to conformer layer pruning for efficient ASR inference
Dhanush Bekal, Karthik Gopalakrishnan, Karel Mundnich, Srikanth Ronanki, Sravan Bodapati, Katrin Kirchhoff
2023
Conversational AI / Natural-language processing
A heterogeneous graph-based framework for scalable fraud detection
Phanindra Reddy Madduru, Naveed Janvekar
2023
Machine learning
Extracting shopping interest-related product types from the Web
Yinghao Li, Colin Lockard, Prashant Shiralkar, Chao Zhang
2023
Conversational AI / Natural-language processing
Graph model explainer tool
Yudi Zhang, Naveed Janvekar, Phanindra Reddy Madduru, Nitika Bhaskar
2023
Machine learning
Distributed transactions at scale in Amazon DynamoDB
Joseph Idziorek, Alex Keyes, Colin Lazier, Somu Perianayagam, Prithvi Ramanathan, James Christopher Sorenson III, Doug Terry, Akshat Vig
2023
Learning multimodal data augmentation in feature space
Zichang Liu, Zhiqiang Tang, Xingjian Shi, Aston Zhang, Mu Li, Anshumali Shrivastava, Andrew Gordon Wilson
2023
Computer vision
PLAtE: A large-scale dataset for list page web extraction
Aidan San, Yuan Zhuang, Jan Bakus, Colin Lockard, David Ciemiewicz, Sandeep Atluri, Yangfeng Ji, Kevin Small, Heba Elfardy
2023
Information and knowledge management
Domain-compatible synthetic data generation for emergency vehicle detection
Dipika Khullar, Negin Sokhandan, Ninad Kulkarni, Yash Shah, Suchitra Sathyanarayana
2023
Computer vision
Causal interpretability and uncertainty estimation in mixture density networks*
Gokul Swamy, Arunita Das, Shobhit Niranjan
2023
Machine learning
Self-training for label-efficient information extraction from semi-structured web-pages
Ritesh Sarkhel, Binxuan Huang, Colin Lockard, Prashant Shiralkar
2023
Machine learning
Low-count time series anomaly detection
Philipp Renz, Kurt Cutajar, Niall Twomey, Gavin Cheung, Hanting Xie
2023
Machine learning
Towards paralinguistic-only speech representations for end-to-end speech emotion recognition
George Ioannides, Michael Owen, Andrew Fletcher, Viktor Rozgic, Chao Wang
2023
Conversational AI / Natural-language processing
Adversarial named-entity recognition with word attributions and disentanglement
Xiaomeng Jin, Bhanu Vinzamuri, Sriram Venkatapathy, Heng Ji, Pradeep Natarajan
2023
Conversational AI / Natural-language processing
MCM: A multi-task pre-trained customer model for personalization
Rui Luo, Tianxin Wang, Jingyuan Deng, Peng Wan
2023
Machine learning
Utility-preserving privacy-enabled Speech embeddings for emotion detection
Chandrashekhar Lavania, Sanjiv Das, Xin Huang, Kyu Han
2023
Machine learning
Low-complexity streaming speech super-resolution
Erfan Soltanmohammadi, Paris Smaragdis, Mike Goodwin
2023
Machine learning
Towards open-world product attribute mining: A lightly-supervised approach
Liyan Xu, Chenwei Zhang, Xian Li, Jingbo Shang, Jinho Choi
2023
Conversational AI / Natural-language processing
Computation of node distances on hypergraphs
Enzhi Li, Bilal Fadlallah
2023
Information and knowledge management
xPQA: Cross-lingual product question answering across 12 languages
Xiaoyu Shen, Akari Asai, Bill Byrne, Adrià de Gispert
2023
Search and information retrieval
Representer point selection for explaining regularized high-dimensional models
Che-Ping Tsai, Jiong Zhang, Hsiang-Fu Yu, Jyun-Yu Jiang, Eli Chien, Cho-Jui Hsieh, Pradeep Ravikumar
2023
Machine learning
PINA: Leveraging side information in eXtreme multi-label classification via predicted instance neighborhood aggregation
Eli Chien, Jiong Zhang, Cho-Jui Hsieh, Jyun-Yu Jiang, Wei-Cheng Chang, Olgica Milenkovic, Hsiang-Fu Yu
2023
Machine learning
Simplifying distributed neural network training on massive graphs: Randomized partitions improve model aggregation
Jiong Zhu, Aishwarya Reganti, Eddie Huang, Charles Dickens, Nikhil Rao, Karthik Subbian, Danai Koutra
2023
Machine learning
Lengthen your attribution window: Which digital ads have most long-term impact?
Vivian Qin
2023
Economics
Critical learning periods for multisensory integration in deep networks
Michael Kleinman, Alessandro Achille, Stefano Soatto
2023
Computer vision
MESOB: Balancing equilibria & social optimality
Xin Guo, Lihong Li, Sareh Nabi, Rabih Salhab, Junzi Zhang
2023
Economics
Multi-task learning on heterogeneous graph neural network for substitute recommendation
Tianchen Zhou, Michinari Momma, Chaosheng Dong, Fan Yang, Chenghuan Guo, Jin Shang, Jia (Kevin) Liu
2023
Machine learning
Reduced complexity multiscale CNN for in-loop video restoration
Kiran Misra, Andrew Segall, Byeongdoo Choi
2023
Computer vision
SoccerNet 2023 tracking challenge - MOT4MOT Team technical report
Gal Shitrit, Ishay Be'ery, Ido Yerushalmy
2023
Computer vision
MASSIVE: A 1M-example multilingual natural language understanding dataset with 51 typologically-diverse languages
Jack G. M. FitzGerald, Chris Hench, Charith Peris, Scott Mackie, Kay Rottmann, Ana Sanchez, Aaron Nash, Liam Urbach, Vishesh Kakarala, Richa Singh, Swetha Ranganath, Laurie Crist, Misha Britan, Wouter Leeuwis, Gokhan Tur, Prem Natarajan
2023
Related: Amazon releases 51-language dataset for language understanding
Conversational AI / Natural-language processing
Efficient data selection employing Semantic Similarity-based Graph Structures for model training
Roxana-Maria Petcu, Subhadeep Maji
2023
Conversational AI / Natural-language processing
LACE: A light-weight, causal model for enhancing coded speech through adaptive convolutions
Jan Buethe, Jean-Marc Valin, Ahmed Mustafa
2023
Machine learning
Topological representation learning for e-commerce shopping behaviors
Yankai Chen, Tuan Truong, Xin Shen, Ming Wang, Jin Li, Jim Chan, Irwin King
2023
Machine learning
Á-la-carte Prompt Tuning (APT): Combining distinct data via composable prompting
Ben Bowman, Alessandro Achille, Luca Zancato, Matthew Trager, Pramuditha Perera, Giovanni Paolini, Stefano Soatto
2023
Computer vision
Emulation and digital twin framework for the validation of material handling equipment in warehouse environments
Ankit Pandey, Rachael Flam, Raashid Mohammed, Achuta Kalidindi
2023
Robotics
Scaling carbon footprinting: Challenges and opportunities
Bharathan Balaji, Geoff Guest, Gargeya Vunnava, Jared Kramer, Aravind Srinivasan, Michael Taptich
2023
Sustainability
ZREC: Robust recovery of mean and percentile opinion scores
Jingwen Zhu, Ali Ak, Patrick Le Callet, Sriram Sethuraman, Kumar Rahul
2023
Automatic table union search with tabular representation learning
Xuming Hu, Shen Wang, Xiao Qin, Chuan Lei, Zhengyuan Shen, Asterios Katsifodimos, Christos Faloutsos, George Karypis, Lijie Wen, Philip S. Yu
2023
Conversational AI / Natural-language processing
Exploring continual learning for code generation models
Prateek Yadav, Qing Sun, Hantian Ding, Xiaopeng LI, Dejiao Zhang, Ming Tan, Xiaofei Ma, Parminder Bhatia, Ramesh Nallapati, Murali Krishna Ramanathan, Mohit Bansal, Bing Xiang
2023
Conversational AI / Natural-language processing
Bias beyond English: Counterfactual tests for bias in sentiment analysis in four languages
Seraphina Goldfarb-Tarrant, Adam Lopez, Roi Blanco, Diego Marcheggiani
2023
Conversational AI / Natural-language processing
Hierarchical conditional semi-paired image-to-image translation for multi-task image defect correction on shopping websites
Moyan Li, Jinmiao Fu, Shaoyuan Xu, Huidong Liu, Jia (Kevin) Liu, Bryan Wang
2023
Computer vision
Expressive machine dubbing through phrase-level cross-lingual prosody transfer
Jakub Swiatkowski, Duo Wang, Mikolaj Babianski, Giuseppe Coccia, Patrick Tobing, Ravi chander Vipperla, Viacheslav Klimkov, Vincent Pollet
2023
Conversational AI / Natural-language processing
Cross-lingual prosody transfer for expressive machine dubbing
Jakub Swiatkowski, Duo Wang, Mikolaj Babianski, Patrick Tobing, Ravi chander Vipperla, Vincent Pollet
2023
Conversational AI / Natural-language processing
Answering unanswered questions through semantic reformulations in spoken QA
Pedro Henrique Arruda Faustini, Zhiyu Chen, Besnik Fetahu, Oleg Rokhlenko, Shervin Malmasi
2023
Search and information retrieval
Generate-then-retrieve: Intent-aware FAQ retrieval in product search
Zhiyu Chen, Jason Choi, Besnik Fetahu, Oleg Rokhlenko, Shervin Malmasi
2023
Search and information retrieval
Universal ring-of-abusers detection via multi-modal heterogeneous graph learning
Yiyue Qian, Philip Chen, Song Cui, De Chen
2023
Machine learning
XTab: Cross-table pretraining for tabular transformers
Bingzhao Zhu, Xingjian Shi, Nick Erickson, Mu Li, George Karypis, Mahsa Shoaran
2023
Machine learning
RLSbench: Domain adaptation under relaxed label shift
Saurabh Garg, Nick Erickson, James Sharpnack, Alex Smola, Sivaraman Balakrishnan, Zachary Lipton
2023
Computer vision
Contact complexity in customer service
Shu-Ting Pi, Michael Yang, Qun Liu
2023
Conversational AI / Natural-language processing
Uncovering customer issues through topological natural language analysis
Shu-Ting Pi, Sidarth Srinivasan, Yuying Zhu, Michael Yang, Qun Liu
2023
Conversational AI / Natural-language processing
Teacher-student learning on complexity in intelligent routing
Shu-Ting Pi, Michael Yang, Yuying Zhu, Qun Liu
2023
Conversational AI / Natural-language processing
Contrastive training improves zero-shot classification of semi-structured documents
Muhammad Khalifa, Yogarshi Vyas, Shuai Wang, Graham Horwood, Sunil Mallya, Miguel Ballesteros
2023
Conversational AI / Natural-language processing
GEANN: Scalable graph augmentations for multi-horizon time series forecasting
Sitan Yang, Malcolm Wolff, Shankar Ramasubramanian, Vincent Quenneville-Belair, Ronak Mehta, Michael Mahoney
2023
Machine learning
Synthesis-aided crash consistency for storage systems
Jacob Van Geffen, Xi Wang, Emina Torlak, James Bornholt
2023
Cloud and systems
Dynamic ensemble for probabilistic time-series forecasting via deep reinforcement learning
Yuhao Ding, Youngsuk Park, Karthick Gopalswamy, Hilaf Hasson, Bernie Wang, Luke Huan
2023
Machine learning
Active learning with crowd sourcing improves information retrieval
Zhuotong Chen, Yifei Ma, Branislav Kveton, Anoop Deoras
2023
Conversational AI / Natural-language processing
Deep sequence modeling for event log-based predictive maintenance
Yun Zhou, Yawei Wang, Huan Song, Tesfagabir Meharizghi, Mohamad Al Jazaery, Panpan Xu, Denisse Colin-Magana, Aruna Abeyakoon
2023
Machine learning
Decision layer: Enhancing multi-model, multi timescale decisions on the fly with online feedback
Meet Gandhi, Agniva Som, Suraj Satishkumar Sheth, Amrita Kumari
2023
Machine learning
Transformer based anomaly detection on multivariate time series subledger data
Daksha Yadav, Sabrina zhang, Tom Jin
2023
Machine learning
Cash transaction booking via retrieval augmented LLM
Sabrina zhang, Daksha Yadav, Tom Jin
2023
Conversational AI / Natural-language processing
Diffusion-based accent modelling in speech synthesis
Kamil Deja, Georgi Tinchev, Marta Czarnowska, Marius Cotescu, Jasha Droppo
2023
Machine learning
Language agnostic multilingual information retrieval with contrastive learning
Xiyang Hu, Xinchi Chen, Peng Qi, Deguang Kong, Kunlun Liu, William Wang, Zhiheng Huang
2023
Conversational AI / Natural-language processing
Product image representation learning on large scale noisy datasets
Aniket Joshi, Nilotpal Das, Promod Yenigalla
2023
Computer vision
Leveraging efficient training and feature fusion in transformers for multimodal classification
Kenan Emir Ak, Gwang Lee, Yan Xu, Mingwei Shen
2023
Computer vision
Developing autonomous behaviors for a consumer robot to be near people in the home
Jin Joo Lee, Amin Atrash, Dylan F. Glas, Hanxiao Fu
2023
Robotics
Advancing ad auction realism: Practical insights & modeling implications
Ming Chen, Sareh Nabi, Marciano Siniscalchi
2023
Economics
Online heavy-tailed change-point detection
Abishek Sankararaman, Balakrishnan (Murali) Narayanaswamy
2023
Machine learning
A framework for realistic simulation of daily human activity
Ifrah Idrees, Siddharth Singh, Kerui Xu, Dylan F. Glas
2023
Robotics
Teaching a robot where to park: A scalable crowdsourcing approach
De'Aira Bryant, Tiago Etiene, Ayanna Howard, William D. Smart, Dylan F. Glas
2023
Robotics
A bass diffusion-inspired methodology to predict cumulative device activity to improve device circularity potential
Ardeshir Raihanian, Ryan Bradley, Lin Shi
2023
Sustainability
A comparative analysis of pretrained language models for text-to-speech
Marcel Granero Moya, Penny Karanasou, Sri Karlapati, Bastian Schnell, Nicole Peinelt, Alexis Moinet, Thomas Drugman
2023
Conversational AI / Natural-language processing
Lightweight end-to-end text-to-speech synthesis for low resource on-device applications
Biel Tura Vecino, Adam Gabrys, Daniel Matwicki, Andrzej Pomirski, Tom Iddon, Marius Cotescu, Jaime Lorenzo Trueba
2023
Conversational AI / Natural-language processing
Controllable emphasis with zero data for text-to-speech
Arnaud Joly, Marco Nicolis, Ekaterina Petrova, Alessandro Lombardi, Ammar Abbas, Arent van Korlaar, Aman Hussain, Parul Sharma, Alexis Moinet, Mateusz Lajszczak, Penny Karanasou, Antonio Bonafonte, Thomas Drugman, Elena Sokolova
2023
Conversational AI / Natural-language processing
A coordinate-regression-based deep learning model for catheter detection during structural heart interventions
Mahdie Aghasizade, Amir Kiyoumarsioskouei, Sara Hashemi, Matin Torabinia , Alexandre Caprio, Muaz Rashid, Yi Xiang, Huzefa Rangwala, Tianyu Ma, Benjamin Lee, Alan Wang, Mert Sabuncu, S. Chiu Wong, Bobak Mosadegh
2023
Computer vision
Obeying the order: Introducing ordered transfer hyperparameter optimisation
Sigrid Passano Hellan, Huibin Shen, Francois-Xavier Aubet, David Salinas, Aaron Klein
2023
Machine learning
Text is all you need: Learning language representations for sequential recommendation
Jiahceng Li, Ming Wang, Jin Li, Jinmiao Fu, Xin Shen, Jingbo Shang, Julian McAuley
2023
Conversational AI / Natural-language processing
PersonaPKT: Building personalized dialogue agents via parameter-efficient knowledge transfer
Xu Han, Bin Guo, Yoon Jung, Benjamin Yao, Yu Zhang, Derek Liu, Edward Guo
2023
Conversational AI / Natural-language processing
Leveraging latent topic information to improve product machine translation
Bryan Zhang, Stephan Walter, Liling Tan, Amita Misra
2023
Machine learning
TAAL: Target-aware active learning
Kunal Kotian, Indranil Bhattacharya, Shikhar Gupta, Kaushik Pavani, Naval Bhandari, Sunny Dasgupta
2023
Machine learning
Leveraging covariate adjustments at scale in online A/B testing
Lorenzo Masoero, Doug Hains, James McQueen
2023
Economics
Learned learning rate schedules for deep neural network training using reinforcement learning
Shreyas Subramanian, Vignesh Ganapathiraman, Aly El Gamal
2023
Machine learning
Efficient learning rate schedules for stochastic non-negative matrix factorization via reinforcement learning
Shreyas Subramanian, Vignesh Ganapathiraman, Aly El Gamal
2023
Machine learning
Fast private kernel density estimation via locality sensitive quantization
Tal Wagner, Yonatan Naamad, Nina Mishra
2023
Machine learning
Reducing cohort bias in natural language understanding systems with targeted self-training scheme
Thu Le, Gabriela Cortes Hernandez, Bei Chen, Melanie Bradford
2023
Conversational AI / Natural-language processing
Brand consistency for multilingual e-commerce machine translation
Bryan Zhang, Stephan Walter, Saurabh Chetan Birari, Ozlem Eren
2023
Conversational AI / Natural-language processing
PATCorrect: Non-autoregressive phoneme-augmented transformer for ASR error correction
Ziji Zhang, Zhehui Wang, Raj Kamma, Sharanya Eswaran, Narayanan Sadagopan
2023
Conversational AI / Natural-language processing
Schema-guided user satisfaction modeling for task-oriented dialogues
Yue Feng, Yunlong Jiao, Animesh Prasad, Nikolaos Aletras, Emine Yilmaz, Gabriella Kazai
2023
Conversational AI / Natural-language processing
Delay-adapted policy optimization and improved regret for adversarial MDP with delayed bandit feedback
Tal Lancewick, Aviv Rosenberg, Dmitry Sotnikov
2023
Machine learning
SemEval-2023 Task 2: Fine-grained multilingual named entity recognition (MultiCoNER 2)
Besnik Fetahu, Sudipta Kar, Zhiyu Chen, Oleg Rokhlenko, Shervin Malmasi
2023
Conversational AI / Natural-language processing
Improved and deterministic online service with deadlines or delay
Noam Touitou
2023
Machine learning
Augmenting graph convolutional networks with textual data for recommendations
Sergey Volokhin, Marcus Collins, Oleg Rokhlenko, Eugene Agichtein
2023
Conversational AI / Natural-language processing
Distribution-free multi-horizon forecasting and vending system
Vincent Quenneville-Belair, Malcolm Wolff, Brady Willhelme, Dhruv Madeka, Dean Foster
2023
Machine learning
Modelling delayed redemption with importance sampling and pre-redemption engagement
Samik Datta, Anshuman Mourya, Anirban Majumder, Vineet Chaoji
2023
Machine learning
KD-FixMatch: Knowledge distillation siamese neural networks
Chien-Chih Wang, Shaoyuan Xu, Jinmiao Fu, Yang Liu, Bryan Wang
2023
Computer vision
Boosting the performance of deployable timestamped directed GNNs via time-relaxed sampling
Arihant Jain, Gundeep Arora, Anoop S V K K Saladi
2023
Machine learning
Double machine learning at scale to predict causal impact of customer actions
Sushant More, Priya Kotwal, Sujith Chappidi, Dinesh Mandalapu, Chris Khawand
2023
Economics
Improving cross-task generalization of unified table-to-text models with compositional task configurations
Jifan Chen, Yuhao Zhang, Lan Liu, Rui Dong, Xinchi Chen, Patrick Ng, William Wang, Zhiheng Huang
2023
Conversational AI / Natural-language processing
Measuring feature quality for improved ranking performance
Sulagna Gope, Ravi Sugandharaju, Anup Kotalwar, Vamsi Salaka
2023
Search and information retrieval
Zero-shot virtual product placement in videos
Divya Bhargavi, Karan Sindwani, Sia Gholami
2023
Computer vision
Security of hybrid key establishment using concatenation
Adam Petcher, Matthew Campagna
2023
Security, privacy, and abuse prevention
CoMix: Guide transformers to code-mix using POS structure and phonetics
Gaurav Arora, Srujana Merugu, Vivek Sembium
2023
Conversational AI / Natural-language processing
Guided recommendation for model fine-tuning
Hao Li, Charless Fowlkes, Hao Yang, Onkar Dabeer, Zhuowen Tu, Stefano Soatto
2023
Computer vision
Using science to support and develop employees in the tech workforce - an opportunity for multi-disciplinary pursuits in engineering education
Sreyoshi Bhaduri, Marina Dias, Amulya Mysore, Robert Pulvermacher, Amelia Rivera-Burnett, Shahriar Sadighi, Wanqun Zhao
2023
Economics
Fixed-budget best-arm identification with heterogeneous reward variances
Anusha Lalitha, Kousha Kalantari, Yifei Ma, Anoop Deoras, Branislav Kveton
2023
Machine learning
Accurate training of web-based question answering systems with feedback from ranked users
Liang Wang, Ivano Lauriola, Alessandro Moschitti
2023
Conversational AI / Natural-language processing
Bandit sampling for faster neural network training with SGD
Francisco Calderon Rodriguez, Anila Joshi, Vignesh Ganapathiraman
2023
Machine learning
Quantization-aware and tensor-compressed training of transformers for natural language understanding
Zi Yang, Samridhi Choudhary, Siegfried Kunzmann, Zheng Zhang
2023
Conversational AI / Natural-language processing
Improve machine translation in e-commerce multilingual search with contextual signal from search sessions
Bryan Zhang, Taichi Nakatani, Stephan Walter, Amita Misra, Elizabeth Milkovits
2023
Machine learning
Cloud-based hybrid simulation model for optimizing warehouse yard operations
Farhan Mohammed, Pascalin Ngoko, Farouq Halawa, Raashid Mohammed
2023
Cloud and systems
Probabilistic hierarchical forecasting with deep Poisson mixtures
KIN Olivares, Nganba Meetei, Ruijun Ma, Rohan Reddy, Mengfei Cao, Lee Dicker
2023
Machine learning
GPT4Rec: A generative framework for personalized recommendation and user interests interpretation
Jinming Li, Wentao Zhang, Tian Wang, Guanglei Xiong, Alan Lu, Gérard Medioni
2023
Search and information retrieval
Behavior-driven query similarity prediction based on pre-trained language models for e-commerce search
Yupin Huang, Jiri Gesi, Xinyu Hong, Han Cheng, Kai Zhong, Vivek Mittal, Qingjun Cui, Vamsi Salaka
2023
Conversational AI / Natural-language processing
S2vNTM: Semi-supervised VMP neural topic modeling
Weijie Xu, Jay Desai, Srinivasan Sengamedu, "SHS", Xiaoyu Jiang, Francis Iannacci
2023
Conversational AI / Natural-language processing
On orderings of probability vectors and unsupervised performance estimation
Maaz M, Rui Qiao, Yiheng Zhou, Renxian Zhang
2023
Conversational AI / Natural-language processing
Explaining a machine learning decision to physicians via counterfactuals
Supriya Nagesh, Nina Mishra, Yonatan Naamad, James Rehg, Mehul A. Shah, Alexei Wagner
2023
Machine learning
Designing harder benchmarks for evaluating zero-shot generalizability in question answering over knowledge bases
Ritam Dutt, Sopan Khosla, Vinayshekhar Bannihatti Kumar, Rashmi Gangadharaiah
2023
Conversational AI / Natural-language processing
Instruction tuning for few-shot aspect-based sentiment analysis
Siddharth Varia, Shuai Wang, Kishaloy Halder, Robert Vacareanu, Miguel Ballesteros, Yassine Benajiba, Neha Anna John, Rishita Anubhai, Smaranda Muresan, Dan Roth
2023
Conversational AI / Natural-language processing
Unified modeling of multi-domain multi-device ASR systems
Soumyajit Mitra, Swayambhu Nath Ray, Bharat Padi, Raghavendra Bilgi, Harish Arsikere, Shalini Ghosh, Ajay Srinivasamurthy, Sri Garimella
2023
Conversational AI / Natural-language processing
Knowledge graph reasoning over entities and numerical values
Jiaxin Bai, Chen Luo, Zheng Li, Qingyu Yin, Bing Yin, Yangqiu Song
2023
Machine learning
Personalization for BERT-based discriminative speech recognition rescoring
Jari Kolehmainen, Yi Gu, Aditya Gourav, Prashanth Gurunath Shivakumar, Ankur Gandhe, Ariya Rastrow, Ivan Bulyko
2023
Machine learning
DCTX-Conformer: Dynamic context carry-over for low latency unified streaming and non-streaming Conformer
Goeric Huybrechts, Srikanth Ronanki, Xilai Li, Hadis Nosrati, Sravan Bodapati, Katrin Kirchhoff
2023
Conversational AI / Natural-language processing
RankFormer: Listwise learning-to-rank using listwide labels
Maarten Buyl, Paul Missault, Pierre-Antoine Sondag
2023
Related: Leveraging transformers to improve product retrieval results
Search and information retrieval
Sequential kernelized independence testing
Sasha Podkopaev, Patrick Bloebaum, Shiva Kasiviswanathan, Aaditya Ramdas
2023
Machine learning
From hypergraph energy functions to hypergraph neural networks
Yuxin Wang, Quan Gan, Xipeng Qiu, Xuanjing Huang, David Paul Wipf
2023
Machine learning
Thompson sampling with diffusion generative prior
Yu-Guan Hsieh, Shiva Kasiviswanathan, Branislav Kveton, Patrick Bloebaum
2023
Machine learning
Multi-task off-policy learning from bandit feedback
Joey Hong, Branislav Kveton, Manzil Zaheer, Sumeet Katariya, Mohammad Ghavamzadeh
2023
Machine learning
eCat: An end-to-end model for multi-speaker TTS & many-to-many fine-grained prosody transfer
Ammar Abbas, Sri Karlapati, Bastian Schnell, Penny Karanasou, Marcel Granero Moya, Amith Nagaraj, Ayman Boustati, Nicole Peinelt, Alexis Moinet, Thomas Drugman
2023
Conversational AI / Natural-language processing
On the initialization of graph neural networks
Jiahang Li, Yakun Song, Xiang Song, David Paul Wipf
2023
Machine learning
Knowledge distillation on joint task end-to-end speech translation
Khandokar Md. Nayem, Ran Xue, Ching-Yun (Frannie) Chang, Akshaya Vishnu Kudlu Shanbhogue
2023
Conversational AI / Natural-language processing
Resolving ambiguities in text-to-image generative models
Ninareh Mehrabi, Palash Goyal, Apurv Verma, Jwala Dhamala, Varun Kumar, Qian Hu, Kai-Wei Chang, Richard Zemel, Aram Galstyan, Rahul Gupta
2023
Computer vision
Multi-VALUE: A framework for cross-dialectal English NLP
Caleb Ziems, William Held, Jingfeng Yang, Jwala Dhamala, Rahul Gupta, Diyi Yang
2023
Conversational AI / Natural-language processing
Prompting language models improves performance in imbalanced setting
Jay Mohta
2023
Conversational AI / Natural-language processing
S2vNTM: Semi-supervised vMF neural topic modeling
Weijie Xu, Jay Desai, Srinivasan Sengamedu, "SHS", Xiaoyu Jiang, Francis Iannacci
2023
Conversational AI / Natural-language processing
A unified framework of graph information bottleneck for robustness and membership privacy
Enyan Dai, Limeng Cui, Zhengyang Wang, Xianfeng Tang, Yinghan Wang, Monica Cheng, Bing Yin, Suhang Wang
2023
Security, privacy, and abuse prevention
Knowledge graph-augmented language models for complex question answering
Priyanka Sen, Sandeep Mavadia, Amir Saffari
2023
Conversational AI / Natural-language processing
Don’t stop self-supervision: Accent adaptation of speech representations via residual adapters
Anshu Bhatia, Sanchit Sinha, Saket Dingliwal, Karthik Gopalakrishnan, Sravan Bodapati, Katrin Kirchhoff
2023
Conversational AI / Natural-language processing
Implicit query parsing for product search
Chen Luo, Rahul Goutam, Haiyang Zhang, Chao Zhang, Yangqiu Song, Bing Yin
2023
Search and information retrieval
KDSTM: Neural semi-supervised topic modeling with knowledge distillation
Weijie Xu, Billy Jiang, Jay Desai, Bin Han, Fuqin Yan, Francis Iannacci
2023
Conversational AI / Natural-language processing
Explaining multiclass classifiers with categorical values: A case study in radiography
Luca Franceschi, Cemre Zor, Bilal Zafar, Gianluca Detommaso, Cédric Archambeau, Tamas Madl, Michele Donini, Matthias Seeger
2023
Machine learning
vONTSS: vMF based semi-supervised neural topic modeling with optimal transport
Weijie Xu, Xiaoyu Jiang, Srinivasan Sengamedu, "SHS", Francis Iannacci, Jinjin Zhao
2023
Conversational AI / Natural-language processing
Differentially private optimization on large model at small cost
Zhiqi Bu, Yu-Xiang Wang, Sheng Zha, George Karypis
2023
Machine learning
Multilingual contextual adapters to improve custom word recognition in low-resource languages
Devang Kulshreshtha, Saket Dingliwal, Brady Houston, Sravan Bodapati
2023
Conversational AI / Natural-language processing
Scaling laws for discriminative speech recognition rescoring models
Yi Gu, Prashanth Gurunath Shivakumar, Jari Kolehmainen, Ankur Gandhe, Ariya Rastrow, Ivan Bulyko
2023
Machine learning
Understanding and answering incomplete questions
Angus Addlesee, Marco Damonte
2023
Related: Repairing interrupted questions makes voice agents more accessible
Conversational AI / Natural-language processing
ADEQA: A question-answer based approach for joint ADE-suspect extraction using sequence-to-sequence transformers
Vinayak Arannil, Tomal Deb, Atanu Roy
2023
Conversational AI / Natural-language processing
Parameter-efficient low-resource dialogue state tracking by prompt tuning
Mingyu Derek Ma, Jiun-Yu Kao, Shuyang Gao, Arpit Gupta, Di Jin, Tagyoung Chung, Violet Peng
2023
Conversational AI / Natural-language processing
Solving string constraints using SAT
Kevin Lotz, Amit Goel, Bruno Dutertre, Benjamin Kiesl-Reiter, Soonho Kong, Rupak Majumdar, Dirk Nowotka
2023
Automated reasoning
An AMR-based link prediction approach for document-level event argument extraction
Yuqing Yang, Qipeng Guo, Xiangkun Hu, Yue Zhang, Qipeng Guo, Zheng Zhang
2023
Conversational AI / Natural-language processing
Small is the new big: Pre-finetuned compact models are better for asynchronous active learning
Dantong Liu, Kaushik Pavani, Sunny Dasgupta
2023
Machine learning
Adaptation approaches for nearest neighbor language models
Rishabh Bhardwaj, George Polovets, Monica Sunkara
2023
Conversational AI / Natural-language processing
Text-to-image editing by image information removal
Zhongping Zhang, Skyler Zheng, Jacob Zhiyuan Fang, Bryan A. Plummer
2023
Computer vision
Understanding and constructing latent modality structures in multi-modal representation learning
Qian Jiang, Changyou Chen, Han Zhao, Liqun Chen, Qing Ping, Son Tran, Yi Xu, Belinda Zeng, Trishul Chilimbi
2023
Computer vision
Automated analyses of IOT event monitoring systems
Andrew Apicellii, Sam Bayless, Ankush Das, Andrew Gacek, Dhiva Jaganathan, Saswat Padhi, Vaibhav Sharma, Mike Whalen, Raveesh Yadav
2023
Automated reasoning
Multilingual context-based pronunciation learning for text-to-speech
Giulia Comini, Sam Ribeiro, Fan Yang, Heereen Shim, Jaime Lorenzo Trueba
2023
Conversational AI / Natural-language processing
Learning when to trust which teacher for weakly supervised ASR
Aakriti Agrawal, Milind Rao, Anit Kumar Sahu, Gopinath (Nath) Chennupati, Andreas Stolcke
2023
Conversational AI / Natural-language processing
Streaming speech-to-confusion network speech recognition
Denis Filimonov, Prabhat Pandey, Ariya Rastrow, Ankur Gandhe, Andreas Stolcke
2023
Conversational AI / Natural-language processing
Querywise fair learning to rank through multi-objective optimization
Debabrata Mahapatra, Chaosheng Dong, Michinari Momma
2023
Information and knowledge management
Multi-label learning to rank through multi-objective optimization
Debabrata Mahapatra, Chaosheng Dong, Yetian Chen, Michinari Momma
2023
Machine learning
Lexical speaker error correction: Leveraging language models for speaker diarization error correction
Rohit Paturi, Sundararajan Srinivasan, Xiang Li
2023
Machine learning
Model-internal slot-triggered biasing for domain expansion in neural transducer ASR models
Edie Lu, Philip Harding, Kanthashree Mysore Sathyendra, Sibo Tong, Xuandi Fu, Jing Liu, Feng-Ju (Claire) Chang, Simon Wiesler, Grant Strimel
2023
Conversational AI / Natural-language processing
A static evaluation of code completion by large language models
Hantian Ding, Varun Kumar, Yuchen Tian, Zijian Wang, Rob Kwiatkowski, Xiaopeng LI, Murali Krishna Ramanathan, Baishakhi Ray, Parminder Bhatia, Sudipta Sengupta, Dan Roth, Bing Xiang
2023
Conversational AI / Natural-language processing
Scalable and accurate self-supervised multimodal representation learning without aligned video and text data
Vladislav Lialin, Stephen Rawls, David Chan, Shalini Ghosh, Anna Rumshisky, Wael Hamza
2023
Computer vision
Selective biasing with trie-based contextual adapters for personalised speech recognition using neural transducers
Philip Harding, Sibo Tong, Simon Wiesler
2023
Conversational AI / Natural-language processing
Conmer: Streaming Conformer without self-attention for interactive voice assistants
Martin Radfar, Paulina Lyskawa, Brandon Trujillo, Yi Xie, Kai Zhen, Jahn Heymann, Denis Filimonov, Grant Strimel, Nathan Susanj, Athanasios Mouchtaris
2023
Conversational AI / Natural-language processing
Effective training of attention-based contextual biasing adapters with synthetic audio for personalised ASR
Burin Naowarat, Philip Harding, Pasquale D'Alterio, Sibo Tong, Bashar Awwad Shiekh Hasan
2023
Conversational AI / Natural-language processing
Understanding disrupted sentences using underspecified abstract meaning representation
Angus Addlesee, Marco Damonte
2023
Related: Repairing interrupted questions makes voice agents more accessible
Conversational AI / Natural-language processing
IGB: Addressing the gaps in labeling, features, heterogeneity, and size of public graph datasets for deep learning research
Arpandeep Khatua, Vikram Sharma Mailthody, Bhagyashree Taleka, Tengfei Ma, Xiang Song, Wen-mei Hwu
2023
Machine learning
On-device constrained self-supervised speech representation learning for keyword spotting via knowledge distillation
Gene-Ping Yang, Yue Gu, Qingming Tang, Dongsu Du, Yuzong Liu
2023
Conversational AI / Natural-language processing
KGQA without retraining
Nick McKenna, Priyanka Sen
2023
Conversational AI / Natural-language processing
Knowledge-augmented language model prompting for zero-shot knowledge graph question answering
Jinheon Baek, Alham Fikri Aji, Amir Saffari
2023
Conversational AI / Natural-language processing
Towards building a robust toxicity predictor
Dmitriy Bespalov, Sourav Bhabesh, Yi Xiang, Yanjun (Jane) Qi
2023
Conversational AI / Natural-language processing
Recipes for sequential pre-training of multilingual encoder and seq2seq models
Saleh Soltan, Andy Rosenbaum, Tobias Falke, Qin Lu, Anna Rumshisky, Wael Hamza
2023
Conversational AI / Natural-language processing
Improving low resource speech translation with data augmentation and ensemble strategies
Akshaya Vishnu Kudlu Shanbhogue, Ran Xue, Soumya Saha, Daniel Zhang, Ashwin Ganesan
2023
Conversational AI / Natural-language processing
Record deduplication for entity distribution modeling in ASR transcripts
Tianyu Huang, Chung Hoon Hong, Carl Wivagg, Kanna Shimizu
2023
Conversational AI / Natural-language processing
Developing and validating automated scoring for an audio constructed response simulation
MQ Liu, Denver McNeney, John Capman, Shane Lowery, Matthew Kitching, Anjali Nimbkar, Tony Boyce
2023
Conversational AI / Natural-language processing
SWING: Balancing coverage and faithfulness for dialogue summarization
Kung-Hsiang Huang, Siffi Singh, Xiaofei Ma, Wei Xiao, Feng Nan, Nick Dingwall, William Wang, Kathleen McKeown
2023
Conversational AI / Natural-language processing
Exploiting abstract meaning representation for open-domain question answering
Cunxiang Wang, Zhikun Xu, Qipeng Guo, Xiangkun Hu, Xuefeng Bai, Zheng Zhang, Yue Zhang
2023
Conversational AI / Natural-language processing
Causal triplet: An open challenge for intervention-centric causal representation learning
Yuejiang Liu, Alexandre Alahi, Chris Russell, Max Horn, Dominik Zietlow, Bernhard Schölkopf, Francesco Locatello
2023
Machine learning
Causal discovery with score matching on additive models with arbitrary noise
Francesco Montagna, Nicoletta Noceti, Lorenzo Rosasco, Kun Zhang, Francesco Locatello
2023
Machine learning
Dynamic inference with grounding based vision and language models
Burak uzkent, Amanmeet Garg, Wentao Zhu, Keval Doshi, Jingru Yi, Andy Wang, Mohamed Omar
2023
Related: Long-form-video understanding and synthesis
Computer vision
KILM: Knowledge injection into encoder-decoder language models
Yan XU, Mahdi Namazifar, Devamanyu Hazarika, Aishwarya Padmakumar, Yang Liu, Dilek Hakkani-Tür
2023
Conversational AI / Natural-language processing
Unsupervised melody-to-lyric generation
Yufei Tian, Anjali Narayan-Chen, Shereen Oraby, Alessandra Cervone, Chenyang Tao, Gunnar Sigurdsson, Wenbo Zhao, Tagyoung Chung, Jing Huang, Violet Peng
2023
Conversational AI / Natural-language processing
Synthetic data for model selection
Alon Shoshan, Nadav Bhonker, Igor Kviatkovsky, Matan Fintz, Gérard Medioni
2023
Computer vision
Measuring and mitigating local instability in deep neural networks
Arghya Datta, Subhrangshu Nandi, Jingcheng Xu, Greg Ver Steeg, He Xie, Anoop Kumar, Aram Galstyan
2023
Conversational AI / Natural-language processing
RobustQA: Benchmarking the robustness of domain adaptation for open-domain question answering
Rujun Han, Peng Qi, Yuhao Zhang, Lan Liu, Juliette Burger, William Wang, Zhiheng Huang, Bing Xiang, Dan Roth
2023
Conversational AI / Natural-language processing
Hybrid hierarchical retrieval for open-domain question answering
Manoj Ghuhan Arivazhagan, Lan Liu, Peng Qi, Xinchi Chen, William Wang, Zhiheng Huang
2023
Conversational AI / Natural-language processing
SCOTT: Self-consistent chain-of-thought distillation
Peifeng Wang, Zhengyang Wang, Zheng Li, Yifan Gao, Bing Yin, Xiang Ren
2023
Related: Teaching language models to reason consistently
Conversational AI / Natural-language processing
Sampling bias in NLU models: Impact and mitigation
Zefei Li, Anil Ramakrishna, Anna Rumshisky, Andy Rosenbaum, Saleh Soltan, Rahul Gupta
2023
Conversational AI / Natural-language processing
Translation-enhanced multilingual text-to-image generation
Yaoyiran Li, Ching-Yun (Frannie) Chang, Stephen Rawls, Ivan Vulić, Anna Korhonen
2023
Conversational AI / Natural-language processing
Sharing encoder representations across languages, domains and tasks in large-scale spoken language understanding
Jonathan Hueser, Judith Gaspers, Thomas Gueudre, Chandana Satya Prakash, Jin Cao, Daniil Sorokin, Quynh Do, Nicolas Anastassacos, Tobias Falke, Turan Gojayev, Mariusz Momotko, Denis Romasanta Rodriguez, Austin Doolittle, Kartik Balasubramaniam, Wael Hamza, Fabian Triefenbach, Patrick Lehnen
2023
Conversational AI / Natural-language processing
AVEN-GR: Attribute value extraction and normalization using product graphs
Donato Crisostomi, Thomas Ricatte
2023
Machine learning
CUPID: Curriculum learning based real-time prediction using distillation
Arindam Bhattacharya, Ankith M S, Ankit Gandhi, Vijay Huddar, Atul Saroop, Rahul Bhagat
2023
Search and information retrieval
Improving grapheme-to-phoneme conversion by learning pronunciations from speech recordings
Sam Ribeiro, Giulia Comini, Jaime Lorenzo Trueba
2023
Conversational AI / Natural-language processing
Distillation strategies for discriminative speech recognition rescoring
Prashanth Gurunath Shivakumar, Jari Kolehmainen, Yi Gu, Ankur Gandhe, Ariya Rastrow, Ivan Bulyko
2023
Machine learning
Toward more accurate and generalizable evaluation metrics for task-oriented dialogs
Abi Komma, Nagesh Panyam, Timothy Leffel, Anuj Goyal, Angeliki Metallinou, Spyros Matsoukas, Aram Galstyan
2023
Conversational AI / Natural-language processing
Benchmarking diverse-modal entity linking with generative models
Sijia Wang, Alexander Li, Henry Zhu, Sheng Zhang, Chung-Wei Hang, Pramuditha Perera, JIE MA, William Wang, Zhiguo Wang, Vittorio Castelli, Bing Xiang, Patrick Ng
2023
Conversational AI / Natural-language processing
Theoretical guarantees of learning ensembling strategies with applications to time series forecasting
Hilaf Hasson, Danielle Maddix Robinson, Bernie Wang, Gaurav Gupta, Youngsuk Park
2023
Machine learning
Context-aware query rewriting for improving users’ search experience on e-commerce websites
Simiao Zuo, Qingyu Yin, Haoming Jiang, Shaohui Xi, Bing Yin, Chao Zhang, Tuo Zhao
2023
Search and information retrieval
Controlled text generation with hidden representation transformations
Vaibhav Kumar, Hana Koorehdavoudi, Masud Moshtaghi, Amita Misra, Ankit Chadha, Emilio Ferrara
2023
Conversational AI / Natural-language processing
CONTRACLM: Contrastive learning for causal language model
Nihal Jain, Dejiao Zhang, Wasi Ahmad, Zijian Wang, Feng Nan, Xiaopeng LI, Ming Tan, Ramesh Nallapati, Baishakhi Ray, Parminder Bhatia, Xiaofei Ma, Bing Xiang
2023
Conversational AI / Natural-language processing
Few shot rationale generation using self-training with dual teachers
Aditya Srikanth Veerubhotla, Lahari Poddar, Jun Yin, Gyuri Szarvas, Sharanya Eswaran
2023
Conversational AI / Natural-language processing
Efficient Shapley values estimation by amortization for text classification
Alan Yang, Fan Yin, He He, Kai-Wei Chang, Xiaofei Ma, Bing Xiang
2023
Conversational AI / Natural-language processing
Characterizing and measuring linguistic dataset drift
Tyler A. Chang, Kishaloy Halder, Neha Anna John, Yogarshi Vyas, Yassine Benajiba, Miguel Ballesteros, Dan Roth
2023
Conversational AI / Natural-language processing
Scalable and safe remediation of defective actions in self-learning conversational systems
Sarthak Ahuja, Mohammad Kachuee, Fateme Sheikholeslami, Weiqing Liu, Jae Do
2023
Conversational AI / Natural-language processing
Code-switched text synthesis in unseen language pairs
I-Hung Hsu, Avik Ray, Shubham Garg, Nanyun Peng, Jing Huang
2023
Conversational AI / Natural-language processing
Rethinking the role of scale for in-context learning: An interpretability-based case study at 66 billion scale
Hritik Bansal, Karthik Gopalakrishnan, Saket Dingliwal, Sravan Bodapati, Katrin Kirchhoff, Dan Roth
2023
Related: Do large language models really need all those layers?
Conversational AI / Natural-language processing
Diable: Efficient dialogue state tracking as operations on tables
Pietro Lesci, Yoshinari Fujinuma, Momchil Hardalov, Chao Shang, Lluis Marquez
2023
Conversational AI / Natural-language processing
Human transcription quality improvement
Jian Gao, Hanbo Sun, Cheng Cao, Zheng Du
2023
Conversational AI / Natural-language processing
RAMP: Retrieval and attribute-marking enhanced prompting for attribute-controlled translation
Gabriele Sarti, Phu Mon Htut, Xing Niu, Benjamin Hsu, Anna Currey, Georgiana Dinu, Maria Nădejde
2023
Conversational AI / Natural-language processing
XSEMPLR: Cross-lingual semantic parsing in multiple natural languages and meaning representations
Yusen Zhang, Jun Wang, Zhiguo Wang, Rui Zhang
2023
Conversational AI / Natural-language processing
ECG-QALM: Entity-controlled synthetic text generation using contextual Q&A for NER
Karan Aggarwal, Henry Jin, Aitzaz Ahmad
2023
Conversational AI / Natural-language processing
Unified contextual query rewriting
Yingxue Zhou, Jie Hao, Mukund Rungta, Yang Liu, Eunah Cho, Xing Fan, Yanbin Lu, Vishal Vasudevan, Kellen Gillespie, Zeynab Raeesy, Sawyer Shen, Edward Guo, Gokhan Tur
2023
Conversational AI / Natural-language processing
LI-RAGE: Late interaction retrieval augmented generation with explicit signals for open-domain table question answering
Weizhe Lin, Rexhina Blloshmi, Bill Byrne, Adrià de Gispert, Gonzalo Iglesias
2023
Search and information retrieval
An inner table retriever for robust table question answering
Weizhe Lin, Rexhina Blloshmi, Bill Byrne, Adrià de Gispert, Gonzalo Iglesias
2023
Conversational AI / Natural-language processing
Generate then select: Open-ended visual question answering guided by world knowledge
Xingyu Fu, Sheng Zhang, Gukyeong Kwon, Pramuditha Perera, Henry Zhu, Yuhao Zhang, Alexander Hanbo Li, William Wang, Zhiguo Wang, Vittorio Castelli, Patrick Ng, Dan Roth, Bing Xiang
2023
Computer vision
Entity contrastive learning in a large-scale virtual assistant system
Jonathan Rubin, Jason Crowley, George Leung, Morteza Ziyadi, Maria Minakova
2023
Conversational AI / Natural-language processing
EMMA: A foundation model for embodied, interactive, multimodal task completion in 3D environments
Heriot-Watt University
2023
Related: University of Michigan’s SEAGULL wins Alexa Prize SimBot Challenge
Embodied symbiotic assistants that see, act, infer and chat
Carnegie Mellon University
2023
Related: University of Michigan’s SEAGULL wins Alexa Prize SimBot Challenge
SlugJARVIS: Multimodal commonsense knowledge-based embodied AI for SimBot Challenge
University of California, Santa Cruz
2023
Related: University of Michigan’s SEAGULL wins Alexa Prize SimBot Challenge
SEAGULL: An embodied agent for instruction following through situated dialog
University of Michigan
2023
Related: University of Michigan’s SEAGULL wins Alexa Prize SimBot Challenge
ScottyBot: A modular embodied dialogue agent
Carnegie Mellon University
2023
Related: University of Michigan’s SEAGULL wins Alexa Prize SimBot Challenge
Towards a robust and generalizable embodied agent
Ohio State University
2023
Related: University of Michigan’s SEAGULL wins Alexa Prize SimBot Challenge
KnowledgeBot: Improving assistive robot for task completion and live interaction via neuro-symbolic reasoning
Virginia Tech
2023
Related: University of Michigan’s SEAGULL wins Alexa Prize SimBot Challenge
BEAST: Building an embodied action-prediction system with trajectory data
University of Illinois at Urbana-Champaign
2023
Related: University of Michigan’s SEAGULL wins Alexa Prize SimBot Challenge
GauchoAI: A proactive modular embodied AI that collaborates with humans
University of California, Santa Barbara
2023
Related: University of Michigan’s SEAGULL wins Alexa Prize SimBot Challenge
Alexa, play with robot: Introducing the first Alexa Prize SimBot Challenge on embodied AI
Hangjie Shi, Leslie Ball, Govind Thattai, Desheng Zhang, Lucy Hu, Qiaozi (QZ) Gao, Suhaila Shakiah, Xiaofeng Gao, Aishwarya Padmakumar, Bofei Yang, Cadence Chung, Dinakar Guthy, Gaurav Sukhatme, Karthika Arumugam, Matthew Wen, Osman Ipek, Patrick Lange, Rohan Khanna, Shreyas Pansare, Vasu Sharma, Chao Zhang, Cris Flagg, Daniel Pressel, Lavina Vaz, Luke Dai, Prasoon Goyal, Sattvik Sahai, Shaohua Liu, Yao Lu, Anna Gottardi, Shui Hu, Yang Liu, Dilek Hakkani-Tür, Kate Bland, Heather Rocker, James Jeun, Yadunandana Rao, Michael Johnston, Akshaya Iyengar, Arindam Mandal, Prem Natarajan, Reza Ghanadan
2023
Related: University of Michigan’s SEAGULL wins Alexa Prize SimBot Challenge
Experimental verification of characteristic mode analysis (CMA) using reverberation chamber
Haran Manoharan, Xu Wang, Matthew Wu, Jagan Rajagopalan, Akshay Mohan, Chulsoon Hwang
2023
Operations research and optimization
Online continual learning for progressive distribution shift (OCL-PDS): A practitioner’s perspective
Runtian Zhai, Stefan Schroedl, Aram Galstyan, Anoop Kumar, Greg Ver Steeg, Pradeep Natarajan
2023
Machine learning
Context-aware transformer pre-training for answer sentence selection
Luca Di Liello, Siddhant Garg, Alessandro Moschitti
2023
Conversational AI / Natural-language processing
Variational temporal IRT: Fast, accurate, and explainable inference of dynamic learner proficiency
Yunsung Kim, Sree Sankaranarayanan, Chris Piech, Candace Thille
2023
Information and knowledge management
Personalized predictive ASR for latency reduction in voice assistants
Andreas Schwarz, Di He, Maarten Van Segbroeck, Mohammed Hethnawi, Ariya Rastrow
2023
Conversational AI / Natural-language processing
On-demand container loading in AWS Lambda
Marc Brooker, Mike Danilov, Chris Greenwood, Phil Piwonka
2023
Cloud and systems
Experimentation platforms meet reinforcement learning: Bayesian sequential decision-making for continuous monitoring
Runzhe Wan, Yu Liu, James McQueen, Doug Hains, Rui Song
2023
Automated reasoning
Auto-WLM: Machine learning enhanced workload management in Amazon Redshift
Gaurav Saxena, Mohammad Arifur Rahman, Naresh Chainani, Chunbin Lin, George Caragea, Fahim Chowdhury, Ryan Marcus, Tim Kraska, Ippokratis Pandis, Balakrishnan (Murali) Narayanaswamy
2023
Machine learning
AttriBERT: Session-based product attribute recommendation with BERT
Akshay Jagatap, NIKKI GUPTA, Sachin Farfade, Prakash Mandayam Comar
2023
Search and information retrieval
Exploiting intent evolution in e-commercial query recommendation
Yu Wang, Zhengyang Wang, Hengrui Zhang, Qingyu Yin, Xianfeng Tang, Yinghan Wang, Danni (Danqing) Zhang, Limeng Cui, Monica Cheng, Bing Yin, Suhang Wang, Philip S. Yu
2023
Search and information retrieval
Demonstrating large-scale package manipulation via learned metrics of pick success
Shuai Li, Azarakhsh Keipour, Kevin Jamieson, Nicolas Hudson, Charles Swan, Kostas Bekris
2023
Robotics
Masked audio text encoders are effective few-shot rescorers
Jinglun Cai, Monica Sunkara, Xilai Li, Anshu Bhatia, Xiao Pan, Sravan Bodapati
2023
Machine learning
“I’m fully who I am”: Towards centering transgender and non-binary voices to measure biases in open language generation
Anaelia Ovalle, Palash Goyal, Jwala Dhamala, Zachary Jaggers, Kai-Wei Chang, Aram Galstyan, Richard Zemel, Rahul Gupta
2023
Conversational AI / Natural-language processing
Learning answer generation using supervision from automatic question answering evaluators
Matteo Gabburo, Siddhant Garg, Rik Koncel-Kedziorski, Alessandro Moschitti
2023
Conversational AI / Natural-language processing
KG-FLIP: Knowledge-guided fashion-domain language-image pre-training for e-commerce
Qinjin Jia, Yang Liu, Shaoyuan Xu, Huidong Liu, Daoping Wu, Jinmiao Fu, Roland Vollgraf, Bryan Wang
2023
Information and knowledge management
Flexible model aggregation for quantile regression
Rasool Fakoor, Taesup Kim, Jonas Mueller, Alex Smola, Ryan Tibshirani
2023
Machine learning
Unsupervised melody-guided lyrics generation
Yufei Tian, Anjali Narayan-Chen, Shereen Oraby, Alessandra Cervone, Gunnar Sigurdsson, Chenyang Tao, Wenbo Zhao, Tagyoung Chung, Jing Huang, Nanyun Peng
2023
Conversational AI / Natural-language processing
On the irrelevance of machine learning algorithms and the importance of relativity
Carlos Huertas, Qi Zhao
2023
Machine learning
SupeRGB-D: Zero-shot instance segmentation in cluttered indoor environments
Evin Pinar Ornek, Aravindhan K Krishnan, Shreekant Gayaka, Cheng-Hao Kuo, Arnie Sen, Nassir Navab, Federico Tombari
2023
Machine learning
Design of an ultra-low mode volume piezo-optomechanical quantum transducer
Piero Chiappina, Josh Banker, Srujan Meesala, David Lake, Steven Wood, Oskar Painter
2023
Quantum technologies
Quantum gravity in the lab. I. Teleportation by size and traversable wormholes
Adam R. Brown, Hrant Gharibyan, Stefan Leichenauer, Henry W. Lin , Sepehr Nezami, Grant Salton, Leonard Susskind, Brian Swingle, Michael Walter
2023
Quantum technologies
Quantum gravity in the lab. II. Teleportation by size and traversable wormholes
Sepehr Nezami, Henry W. Lin , Adam R. Brown, Hrant Gharibyan, Stefan Leichenauer, Grant Salton, Leonard Susskind, Brian Swingle, Michael Walter
2023
Quantum technologies
Uncertainty quantification in extreme classification
Jyun-Yu Jiang, Wei-Cheng Chang, Jiong Zhang, Cho-Jui Hsieh, Hsiang-Fu Yu
2023
Machine learning
Optimizing hyperparameters with conformal quantile regression
David Salinas, Jacek Golebiowski, Aaron Klein, Matthias Seeger, Cédric Archambeau
2023
Operations research and optimization
Miniaturized on-PCB RF filter design based on Electromagnetic BandGap Structure
Je Kyung Lee, Anuj Y. Modi, Tzung-I (Ian) Lee, Cheol-Su Kim
2023
Cloud and systems
Scalable causal discovery with score matching
Francesco Montagna, Nicoletta Noceti, Lorenzo Rosasco, Kun Zhang, Francesco Locatello
2023
Machine learning
Unsupervised object learning via Common Fate
Matthias Tangemann, Steffen Schneider, Julius von Kugelgen, Francesco Locatello, Peter Gehler, Thomas Brox, Matthias Kümmerer, Matthias Bethge, Bernhard Schölkopf
2023
Machine learning
Novel view synthesis of humans using differentiable rendering
Guillaume Rochette, Chris Russell, Richard Bowden
2023
Computer vision
The analysis of DASH manifest optimizations
Yongjun Wu, Kyle Koceski
2023
Cloud and systems
Noise immune antenna (NIA) – a novel approach to mitigate desense for on-board antennas
Khaled Obeidat, Sumitra Dey, Syed Abdullah Nauroze, Qiaolei Huang
2023
Computer vision
Cross-lingual knowledge distillation for answer sentence selection in low-resource languages
Shivanshu Gupta, Yoshitomo Matsubara, Ankit Chadha, Alessandro Moschitti
2023
Conversational AI / Natural-language processing
WebIE: Faithful and robust information extraction on the web
Chenxi Whitehouse, Clara Vania, Alham Fikri Aji, Christos Christodoulopoulos, Andrea Pierleoni
2023
Conversational AI / Natural-language processing
An empirical analysis of leveraging knowledge for low-resource task-oriented semantic parsing
Mayank Kulkarni, Aoxiao Zhong, Nicolas Guenon Des Mesnards, Sahar Movaghati, Mukund Harakere, He Xie, Jianhua Lu
2023
Conversational AI / Natural-language processing
Lookahead when it matters: Adaptive non-causal transformers for streaming neural transducers
Grant Strimel, Yi Xie, Brian King, Martin Radfar, Ariya Rastrow, Athanasios Mouchtaris
2023
Related: How dynamic lookahead improves speech recognition
Conversational AI / Natural-language processing
Few-shot data-to-text generation via unified representation and multi-source learning
Alexander Hanbo Li, Mingyue Shang, Evangelia Spiliopoulou, JIE MA, Patrick Ng, Zhiguo Wang, Bonan Min, William Wang, Kathleen McKeown, Vittorio Castelli, Dan Roth, Bing Xiang
2023
Conversational AI / Natural-language processing
Multitask pretraining with structured knowledge for text-to-SQL generation
Robert Giaquinto, Dejiao Zhang, Benjamin Kleiner, Yang Li, Ming Tan, Parminder Bhatia, Ramesh Nallapati, Xiaofei Ma
2023
Conversational AI / Natural-language processing
ParaAMR: A large-scale syntactically diverse paraphrase dataset by AMR back-translation
Kuan-Hao Huang, Varun Iyer, I-Hung Hsu, Anoop Kumar, Kai-Wei Chang, Aram Galstyan
2023
Conversational AI / Natural-language processing
FolkScope: Intention knowledge graph construction for e-commerce commonsense discovery
Changlong Yu, Weiqi Wang, Xin Liu, Jiaxin Bai, Yangqiu Song, Zheng Li, Yifan Gao, Tianyu Cao, Bing Yin
2023
Conversational AI / Natural-language processing
Weakly supervised hierarchical multi-task classification of customer questions
Jitenkumar Rana, Promod Yenigalla, Chetan Aggarwal, Sandeep Mukku, Manan Soni, Rashmi Patange
2023
Conversational AI / Natural-language processing
EPIC: Multi-perspective annotation of a corpus of irony
Simona Frenda, Alessandro Pedrani, Valerio Basile, Soda Marem Lo, Alessandra Teresa Cignarella, Raffaella Panizzon, Cristina Marco, Bianca Scarlini, Viviana Patti, Cristina Bosco, Davide Bernardi
2023
Conversational AI / Natural-language processing
Regression-free model updates for spoken language understanding
Andrea Caciolai, Verena Weber, Tobias Falke, Alessandro Pedrani, Davide Bernardi
2023
Conversational AI / Natural-language processing
Mitigating the burden of redundant datasets via batch-wise unique samples and frequency-aware losses
Donato Crisostomi, Andrea Caciolai, Alessandro Pedrani, Alessandro Manzotti, Enrico Palumbo, Kay Rottmann, Davide Bernardi
2023
Conversational AI / Natural-language processing
Selective placement of visual fiducials for localization tasks
Jaimie Carlson, Andreas Kolling
2023
Robotics
Improving product search with season-aware query-product semantic similarity
Haoming Chen, Yetian Chen, Jingjing Meng, Yang (Andrew) Jiao, Yikai Ni, Yan Gao, Michinari Momma, Yi Sun
2023
Search and information retrieval
Measuring service-level learning effects in search via query-randomized experiments
Paul Musgrave, Cuize Han, Parth Gupta
2023
Search and information retrieval
How well do offline metrics predict online performance of product ranking models?
Xiaojie Wang, Ruoyuan Gao, Anoop Jain, Graham Edge, Sachin Ahuja
2023
Search and information retrieval
PersonalTM: Transformer memory for personalized retrieval
Ruixue Lian, Sixing Lu, Clint Solomon, Gustavo Aguilar, Pragaash Ponnusamy, Jialong Han, Chengyuan Ma, Chenlei Guo
2023
Search and information retrieval
Controlling the extraction of memorized data from large language models via prompt-tuning
Mustafa Ozdayi, Charith Peris, Jack G. M. FitzGerald, Christophe Dupuy, Jimit Majmudar, Haidar Khan, Rahil Parikh, Rahul Gupta
2023
Conversational AI / Natural-language processing
Mutually-paced knowledge distillation for cross-lingual temporal knowledge graph reasoning
Ruijie Wang, Zheng Li, Jingfeng Yang, Tianyu Cao, Chao Zhang, Bing Yin, Tarek Abdelzaher
2023
Conversational AI / Natural-language processing
Constrained policy optimization for controlled self-learning in conversational AI systems
Mohammad Kachuee, Sungjin Lee
2023
Conversational AI / Natural-language processing
Direct fact retrieval from knowledge graphs without entity linking
Jinheon Baek, Alham Fikri Aji, Jens Lehmann, Sung Ju Hwang
2023
Conversational AI / Natural-language processing
Large scale generative multimodal attribute extraction for e-commerce attributes
Anant Khandelwal, Happy Mittal, Shreyas Sunil Kulkarni, Deepak Gupta
2023
Computer vision
ReAugKD: Retrieval-augmented knowledge distillation for pre-trained language models
Jianyi Zhang, Aashiq Muhamed, Aditya Anantharaman, Guoyin Wang, Changyou Chen, Kai Zhong, Qingjun Cui, Yi Xu, Belinda Zeng, Trishul Chilimbi, Yiran Chen
2023
Conversational AI / Natural-language processing
Masked audio text encoders are effective multi-modal rescorers
Jason Cai, Monica Sunkara, Xilai Li, Anshu Bhatia, Xiao Pan, Sravan Bodapati
2023
Conversational AI / Natural-language processing
NatCS: Eliciting natural customer support dialogues
James Gung, Emily Moeng, Wesley Rose, Arshit Gupta, Yi Zhang, Saab Mansour
2023
Conversational AI / Natural-language processing
Intent induction from conversations for task-oriented dialogue track at DSTC 11
James Gung, Raphael Shu, Emily Moeng, Wesley Rose, Salvatore Romeo, Yassine Benajiba, Arshit Gupta, Saab Mansour, Yi Zhang
2023
Conversational AI / Natural-language processing
QCon at SemEval-2023 Task 10: Data augmentation and model ensembling for detection of online sexism
Wes Feely, Prabhakar Gupta, Manas Mohanty, Tim Chon, Tuhin Kundu, Vijit Singh, Sandeep Atluri, Tanya Roosta, Viviane Ghaderi, Peter Schulam, Heba Elfardy
2023
Conversational AI / Natural-language processing
Transfer learning for fine-grained classification using semi supervised learning and visual transformers
Manuel Lagunas Arto, Brayan Impata, Victor Martinez Gomez, Virginia Fernandez Arguedas, Christos Georgakis, Sofia Braun, Felipe Bertrand
2023
Computer vision
Incentivizing exploration with linear contexts and combinatorial actions
Mark Sellke
2023
Machine learning
Semi-supervised federated learning for keyword spotting
Enmao Diao, Eric Tramel, Jie Ding, Tao Zhang
2023
Machine learning
Comparison of machine learning algorithms for predicting hospital readmissions and worsening heart failure events in patients with heart failure with reduced ejection fraction: Modeling study
Boshu Ru, Xi Tan, Yu Liu, Kartik Kannapur, Dheepan Ramanan, Garin Kessler, Dominik Lautsch, Gregg Fonarow
2023
Conversational AI / Natural-language processing
Homography based player identification in live sports
Yash Pandya, Kaustav Nandy, Shivam Agarwal
2023
Computer vision
Learning physical models that can respect conservation laws
Derek Hansen, Danielle Maddix Robinson, Shima Alizadeh, Gaurav Gupta, Michael Mahoney
2023
Related: Physics-constrained machine learning for scientific computing
Machine learning
Improving programming Q&A with neural generative augmentation
Un Suthee, Cosmo Zhang, Shruti Subramaniyam, Jeff Svajlenko, Tanya Shourya, Iman Keivanloo, Ria Joy
2023
Conversational AI / Natural-language processing
Robust partial fingerprint recognition
Yufei Zhang, Rui Zhao, Ziyi Zhao, Naveen Ramakrishnan, Manoj Aggarwal, Gérard Medioni, Qiang Ji
2023
Computer vision
Deep neural network and mixed-integer programming framework for scheduling textual construction workplace audits
Farouq Halawa, Kai Hayden, Raashid Mohammed
2023
Machine learning
A transformer-based substitute recommendation model incorporating weakly supervised customer behavior data
Wenting Ye, Derek Yang, Shuai Zhao, Haoyang Fang, Xingjian Shi, Naveen Neppalli
2023
Conversational AI / Natural-language processing
Modality-aware adaptation of contrastive language-image models
Alexander Long, Ajanthan Thalaiyasingam, Anton van den Hengel
2023
Machine learning
SimTDE: Simple transformer distillation for sentence embeddings
Jian Xie, Cynthia He, Jiyang Wang, Chris Qiu, Ali Kebarighotbi, Farhad Ghassemi
2023
Conversational AI / Natural-language processing
Shape of You: Precise 3D shape estimations for diverse body types
Rohan Sarkar, Achal Dave, Gérard Medioni, Ben Biggs
2023
Computer vision
Prioritised moderation for online advertising
Phanideep Gampa, Akash Valsangkar, Shailesh Choubey, Pooja A
2023
Computer vision
LEMaRT: Label-efficient masked region transform for image harmonization
Sheng Liu, Cong Phuoc Huynh, Cong Chen, Maxim Arap, Raffay Hamid
2023
Related: Long-form-video understanding and synthesis
Computer vision
HandsOff: Labeled dataset generation with no additional human annotations
Austin Xu, Mariya Vasileva, Achal Dave, Arjun Seshadri
2023
Related: Automatically generating labeled training images
Computer vision
Maximum entropy information bottleneck for uncertainty-aware stochastic embedding
Sungtae An, Nataraj Jammalamadaka, Eunji Chong
2023
Machine learning
Renate: A library for real-world continual learning
Martin Wistuba, Martin Ferianc, Lukas Balles, Cédric Archambeau, Giovanni Zappella
2023
Computer vision
Dynamic chunk convolution for unified streaming and non-streaming conformer ASR
Xilai Li, Goeric Huybrechts, Srikanth Ronanki, Jeff Farris, Sravan Bodapati
2023
Conversational AI / Natural-language processing
Robust acoustic and semantic contextual biasing in neural transducers for speech recognition
Xuandi Fu, Kanthashree Mysore Sathyendra, Ankur Gandhe, Jing Liu, Grant Strimel, Ross McGowan, Athanasios Mouchtaris
2023
Conversational AI / Natural-language processing
Mask the bias: Improving domain-adaptive generalization of CTC-based ASR with internal language model estimation
Nilaksh Das, Monica Sunkara, Sravan Bodapati, Jason Cai, Devang Kulshreshtha, Jeff Farris, Katrin Kirchhoff
2023
Conversational AI / Natural-language processing
Benchmarking framework for anomaly localization: Towards real-world deployment of automated visual inspection
Tryambak Gangopadhyay, Sungmin Hong, Sujoy Roy, Yash Shah, Lin Lee Cheong
2023
Related: Making automated visual-inspection systems practical
Computer vision
Robust multivariate time-series forecasting: Adversarial attacks and defense mechanisms
Linbo Liu, Youngsuk Park, Trong Nghia Hoang, Hilaf Hasson, Jun Huan
2023
Machine learning
Semantic prefixes as an auxiliary target for code understanding and generation
Kechen Qin, Fan Yang, Kai-Wei Chang, Prashan Wanigasekara, Xinyue Liu, Chengwei Su, Emre Barut
2023
Conversational AI / Natural-language processing
Self-supervised pre-training and semi-supervised learning for extractive dialog summarization
Yingying Zhuang, Jiecheng Song, Narayanan Sadagopan, Anurag Beniwal
2023
Conversational AI / Natural-language processing
Modelling low-resource accents without accent-specific TTS frontend
Georgi Tinchev, Marta Czarnowska, Kamil Deja, Kayoko Yanagisawa, Marius Cotescu
2023
Related: Modeling low-resource accents without accent-specific TTS front end
Conversational AI / Natural-language processing
Evaluating humorous response generation to playful shopping requests
Natalie Shapira, Oren Kalinsky, Alexander Libov, Chen Shani, Sofia Tolmach
2023
Conversational AI / Natural-language processing
Selective in-context data augmentation for intent detection using pointwise V-information
Yen-Ting Lin, Alexandros Papangelis, Seokhwan Kim, Sungjin Lee, Devamanyu Hazarika, Mahdi Namazifar, Di Jin, Yang Liu, Dilek Hakkani-Tür
2023
Conversational AI / Natural-language processing
Improve retrieval of regional titles in streaming services with dense retrieval
Bhargav Upadhyay, Tejas Khairnar, Anup Kotalwar
2023
Search and information retrieval
She adapts to her student: An expert pragmatic speaker tailoring her referring expressions to the Layman listener
Claudio Greco, Diksha Bagade, Thu Le, Raffaella Bernardi
2023
Conversational AI / Natural-language processing
PSYM: Efficient symbolic exploration of distributed systems
Lauren Pick, Ankush Desai, Aarti Gupta
2023
Automated reasoning
Approximate nearest neighbor search through modern error-correcting codes
Noam Touitou, Nissim Halabi
2023
Search and information retrieval
Visual item selection with voice assistants
Prashan Wanigasekara, Rafid Al-Humaimidi, Turan Gojayev, Niloofar Gheissari, Achal Dave, Stephen Rawls, Fan Yang, Kechen Qin, Nalin Gupta, Spurthi Sandiri, Chevanthie Dissanayake, Zeynab Raeesy, Emre Barut, Chengwei Su
2023
Computer vision
Foreign keys open the door for faster incremental view maintenance
Christoforos Svingos, Andre Hernich, Hinnerk Gildhoff, Yannis Papakonstantinou, Yannis Ioannidis
2023
Cloud and systems
CLICKER: Attention-based cross-lingual commonsense knowledge transfer
Ruolin Su, Zhongkai Sun, Sixing Lu, Chengyuan Ma, Chenlei Guo
2023
Conversational AI / Natural-language processing
SkiLL: Skipping Color and Label Landscape: self supervised design representations for products in e-commerce
Vinay Kumar Verma, Dween Rabius Sanny, Prateek Sircar, Shreyas Sunil Kulkarni, Deepak Gupta, Abhishek Singh
2023
Computer vision
Look globally and locally: Inter-intra contrastive learning from unlabeled videos
David Fan, Deyu Yang, Xinyu (Arthur) Li, Rohith Mysore Vijaya Kumar, Vimal Bhat
2023
Computer vision
Exploring the reasons for non-generalizability of KBQA systems
Sopan Khosla, Ritam Dutt, Vinayshekhar Bannihatti Kumar, Rashmi Gangadharaiah
2023
Conversational AI / Natural-language processing
Network-free, unsupervised semantic segmentation with synthetic images
Qianli Feng, Raghudeep Gadde, Wentong Liao, Eduard Ramon Maldonado, Aleix Martinez
2023
Computer vision
Phonetic RNN-transducer for mispronunciation diagnosis
Daniel Zhang, Soumya Saha, Sarah Campbell
2023
Related: Pronunciation detection for Alexa’s new English-learning experience
Machine learning
Quantum resources required to block-encode a matrix of classical data
B. David Clader, Alexander Dalzell, Nikitas Stamatopoulos, Grant Salton, Mario Berta, William J. Zeng
2023
Quantum technologies
Universal model in online customer service
Shu-Ting Pi, Cheng-Ping Hsieh, Qun Liu, Yuying Zhu
2023
Conversational AI / Natural-language processing
Selective structured state-spaces for long-form video understanding
Jue Wang, Wentao Zhu, Pichao Wang, Xiang Yu, Linda Liu, Mohamed Omar, Raffay Hamid
2023
Related: Long-form-video understanding and synthesis
Machine learning
A toolkit for automated testing of Dafny
Aleksandr Fedchin, Tyler Dean, Jeffrey S. Foster, Eric Mercer, Zvonimir Rakamaric, Giles Reger, Neha Rungta, Robin Salkeld, Lucas Wagner, Cassidy Waldrip
2023
Automated reasoning
Learning attribute and class-specific representation duet for fine-grained fashion analysis
Yang (Andrew) Jiao, Yan Gao, Jingjing Meng, Jin Shang, Yi Sun
2023
Computer vision
GIVL: Improving geographical inclusivity of vision-language models with pre-training methods
Da Yin, Feng Gao, Govind Thattai, Michael Johnston, Kai-Wei Chang
2023
Computer vision
Movies2Scenes: Using movie metadata to learn scene representation
Shixing Chen, Chun-Hao Liu, Xiang Hao, Xiaohan Nie, Maxim Arap, Raffay Hamid
2023
Related: Long-form-video understanding and synthesis
Computer vision
ScaleDet: A scalable multi-dataset object detector
Yanbei Chen, Manchen Wang, Abhay Mittal, Zhenlin Xu, Paolo Favaro, Joe Tighe, Davide Modolo
2023
Computer vision
FlexNeRF: Photorealistic free-viewpoint rendering of moving humans from sparse views
Vinoj Jayasundara, Amit Agrawal, Nicolas Heron, Abhinav Shrivastava, Larry Davis
2023
Computer vision
WinCLIP: Zero-/few-shot anomaly classification and segmentation
Jongheon Jeong, Yang Zou, Taewan Kim, Dongqing Zhang, Avinash Ravichandran, Onkar Dabeer
2023
Computer vision
Train/test-time adaptation with retrieval
Luca Zancato, Alessandro Achille, Tian Yu Liu, Matthew Trager, Pramuditha Perera, Stefano Soatto
2023
Computer vision
Implicit surface contrastive clustering for LiDAR point clouds
Zaiwei Zhang, Min Bai, Erran Li
2023
Computer vision
Grounding counterfactual explanation of image classifier to textual concept space
Siwon Kim, Jinoh Oh, Sungjin Lee, Seunghak Yu, Jae Do, Tara Taghavi
2023
Computer vision
Spatio-Temporal Pixel-Level contrastive learning-based source-free domain adaptation for video semantic segmentation
Shao-Yuan Lo, Poojankumar Oza, Sumanth Chennupati, Alejandro Galindo, Vishal M. Patel
2023
Computer vision
Exploring subgroup performance in end-to-end speech models
Alkis Koudounas, Eliana Pastor, Giuseppe Attanasio, Vittorio Mazzia, Manuel Giollo, Thomas Gueudre, Luca Cagliero, Luca de Alfaro, Elena Baralis, Daniele Amberti
2023
Conversational AI / Natural-language processing
Leveraging inter-rater agreement for classification in the presence of noisy labels
Maria Sofia Bucarelli, Lucas Cassano, Federico Siciliano, Amin Mantrach, Fabrizio Silvestri
2023
Computer vision
ModEFormer: Modality-preserving embedding for audio-video synchronization using transformers
Akash Gupta, Rohun Tripathi, Wondong Jang
2023
Computer vision
Pseudo-label training and model inertia in neural machine translation
Benjamin Hsu, Anna Currey, Xing Niu, Maria Nădejde, Georgiana Dinu
2023
Related: Making machine translation more robust, consistent, and stable
Conversational AI / Natural-language processing
PolyFormer: Referring image segmentation as sequential polygon generation
Jiang Liu, Hui Ding, Zhaowei Cai, Yuting Zhang, Ravi Kumar Satzoda, Vijay Mahadevan, R. Manmatha
2023
Computer vision
Web-scale semantic product search with large language models
Aashiq Muhamed, Sriram Srinivasan, Choon Hui Teo, Qingjun Cui, Belinda Zeng, Trishul Chilimbi, S. V. N. Vishwanathan
2023
Search and information retrieval
StoryQA: Story grounded question answering dataset
Sanqiang Zhao, Seokhwan Kim, Yang Liu, Robinson Piramuthu, Dilek Hakkani-Tür
2023
Conversational AI / Natural-language processing
DSP: Efficient GNN training with multiple GPUs
Zhenkun Cai, Qihui Zhou, Xiao Yan, James Cheng, Da Zheng, Xiang Song, George Karypis
2023
Cloud and systems
Blend and Match: Distilling semantic search models with different inductive biases and model architectures
Hamed Bonab, Ashutosh Joshi, Ravi Bhatia, Ankit Gandhi, Vijay Huddar, Juhi Naik, Mutasem Al-Darabsah, Choon Hui Teo, Jonathan May, Tarun Agarwal, Vaclav Petricek
2023
Search and information retrieval
In-school and/or out-of-school computer science learning influence on CS career interests, mediated by having role-models
Chen Chen, Jonathan Rothwell, pedrito maynard-zhang
2023
Machine learning
Federated self-learning with weak supervision for speech recognition
Milind Rao, Gopinath Chennupati, Gautam Tiwari, Anit Kumar Sahu, Anirudh Raju, Ariya Rastrow, Jasha Droppo
2023
Related: Federated learning with weak supervision for speech recognition
Conversational AI / Natural-language processing
Self-healing through error detection, attribution, and retraining
Ansel MacLaughlin, Anna Rumshisky, Rinat Khaziev, Anil Ramakrishna, Yuval Merhav, Rahul Gupta
2023
Conversational AI / Natural-language processing
Multi-task student teacher based unsupervised domain adaptation for address parsing
Rishav Sahay, Anoop S V K K Saladi, Prateek Sircar
2023
Conversational AI / Natural-language processing
PASHA: Efficient HPO and NAS with progressive resource allocation
Ondrej Bohdal, Lukas Balles, Martin Wistuba, Beyza Ermis, Cédric Archambeau, Giovanni Zappella
2023
Machine learning
Propositional proof skeletons
Joseph E. Reeves, Benjamin Kiesl-Reiter, Marijn J.H. Heule
2023
Automated reasoning
Mixed-effect Thompson sampling
Imad Aouali, Branislav Kveton, Sumeet Katariya
2023
Machine learning
SPADE: Self-supervised pretraining for acoustic disentanglement
John Harvill, Jarred Barber, Arun Nair, Ramin Pishehvar
2023
Machine learning
Optimizing irregular dense operators of heterogeneous GNN models on GPU
Israt Nisa, Minjie Wang, Da Zheng, Qiang Fu, Umit Catalyurek, George Karypis
2023
Machine learning
Role of bias terms in dot-product attention
Mahdi Namazifar, Devamanyu Hazarika, Dilek Hakkani-Tür
2023
Machine learning
A system for analyzing human capability at scale using AI
Daniel Zhu, Dave Ulrich, Sanjiv Das, Norm Smallwood
2023
Machine learning
Boosted off-policy learning
Ben London, Levi Lu, Ted Sandler, Thorsten Joachims
2023
Machine learning
Towards accurate and real-time end-of-speech estimation
Yifeng Fan, Colin Vaz, Di He, Jahn Heymann, Viet Anh Trinh, Zhe Zhang, Venkatesh Ravichandran
2023
Machine learning
Multimodal neural radiance field
Haidong Zhu, Yuyin Sun, Chi Liu, Lu Xia, Jiajia Luo, Nan Qiao, Ram Nevatia, Cheng-Hao Kuo
2023
Computer vision
Gated contextual adapters for selective contextual biasing in neural transducers
Anastasios Alexandridis, Kanthashree Mysore Sathyendra, Grant Strimel, Feng-Ju (Claire) Chang, Ariya Rastrow, Nathan Susanj, Athanasios Mouchtaris
2023
Conversational AI / Natural-language processing
Entity and event topic extraction from podcast episode title and description using entity linking
Christian Siagian, Amina Shabbeer
2023
Conversational AI / Natural-language processing
DeepMaven: Deep question answering on long-distance movie/TV show videos with multimedia knowledge extraction and synthesis
Yi Fung, Han Wang, Tong Wang, Ali Kebarighotbi, Mohit Bansal, Heng Ji, Prem Natarajan
2023
Conversational AI / Natural-language processing
Interleaved online testing in large-scale systems
Nan Bi, Bai Li, Ruoyuan Gao, Graham Edge, Sachin Ahuja
2023
Search and information retrieval
FedRPO: Federated relaxed Pareto optimization for acoustic event classification
Meng Feng, Chieh-Chi Kao, Qingming Tang, Amit Solomon, Viktor Rozgic, Chao Wang
2023
Machine learning
Weight-sharing supernet for searching specialized acoustic event classification networks across device constraints
Guan-Ting Lin, Qingming Tang, Chieh-Chi Kao, Viktor Rozgic, Chao Wang
2023
Machine learning
Knowledge combination to learn rotated detection without rotated annotation
Tianyu Zhu, Bryce Ferenczi, Pulak Purkait, Tom Drummond, Hamid Rezatofighi, Anton van den Hengel
2023
Computer vision
Adaptive endpointing with deep contextual multi-armed bandits
Do June Min, Andreas Stolcke, Anirudh Raju, Colin Vaz, Di He, Venkatesh Ravichandran, Viet Anh Trinh
2023
Conversational AI / Natural-language processing
Cross-utterance ASR rescoring with graph-based label propagation
Srinath Tankasala, Long Chen, Andreas Stolcke, Anirudh Raju, Shally Deng, Chander Chandak, Aparna Khare, Roland Maas, Venkatesh Ravichandran
2023
Related: More-inclusive speech recognition with cross-utterance rescoring
Conversational AI / Natural-language processing
Dialog act guided contextual adapter for personalized speech recognition
Feng-Ju (Claire) Chang, Thejaswi Muniyappa, Kanthashree Mysore Sathyendra, Kai Wei, Grant Strimel, Ross McGowan
2023
Conversational AI / Natural-language processing
End-to-end spoken language understanding using joint CTC loss and self-supervised, pretrained acoustic encoders
Jixuan Wang, Martin Radfar, Kai Wei, Clement Chung
2023
Conversational AI / Natural-language processing
PROCTER: Pronunciation-aware contextual adapter for personalized speech recognition in neural transducers
Rahul Pandey, Roger Ren, Qi Luo, Jing Liu, Ariya Rastrow, Ankur Gandhe, Denis Filimonov, Grant Strimel, Andreas Stolcke, Ivan Bulyko
2023
Conversational AI / Natural-language processing
Self-supervised speech representation learning for keyword-spotting with light-weight transformers
Chenyang Gao, Yue Gu, Francesco Caliva, Yuzong Liu
2023
Conversational AI / Natural-language processing
Dual-attention neural transducers for efficient wake word spotting in speech recognition
Saumya Sahai, Jing Liu, Thejaswi Muniyappa, Kanthashree Mysore Sathyendra, Anastasios Alexandridis, Grant Strimel, Ross McGowan, Ariya Rastrow, Feng-Ju (Claire) Chang, Athanasios Mouchtaris, Siegfried Kunzmann
2023
Conversational AI / Natural-language processing
Multilingual end-to-end spoken language understanding for ultra-low footprint applications
Markus Mueller, Anastasios Alexandridis, Zach Trozenski, Joel Whiteman, Grant Strimel, Nathan Susanj, Athanasios Mouchtaris, Siegfried Kunzmann
2023
Conversational AI / Natural-language processing
Multi-scale compositional constraints for representation learning on videos
Georgios Paraskevopoulos, Chandrashekhar Lavania, Lovish Chum, Shiva Sundaram
2023
Machine learning
Multiscale audio spectrogram transformer for efficient audio classification
Wentao Zhu, Mohamed Omar
2023
Conversational AI / Natural-language processing
Improving the relevance of product search for queries with negations
Felice Merra, Omar Zaidan, Fabu Nascimento
2023
Search and information retrieval
On-the-fly text retrieval for end-to-end ASR adaptation
Bolaji Yusuf, Aditya Gourav, Ankur Gandhe, Ivan Bulyko
2023
Conversational AI / Natural-language processing
Unsatisfiability proofs for distributed clause-sharing SAT solvers
Dawn Michaelson, Dominik Schreiber, Marijn J.H. Heule, Benjamin Kiesl-Reiter, Mike Whalen
2023
Automated reasoning
Quantifying catastrophic forgetting in continual federated learning
Christophe Dupuy, Jimit Majmudar, Jixuan Wang, Tanya Roosta, Rahul Gupta, Clement Chung, Jie Ding, Salman Avestimehr
2023
Conversational AI / Natural-language processing
Distill-quantize-tune - Leveraging large teachers for low-footprint efficient multilingual NLU on edge
Pegah Kharazmi, Zhewei Zhao, Clement Chung, Samridhi Choudhary
2023
Conversational AI / Natural-language processing
Augmentation robust self-supervised learning for human activity recognition
Cong Xu, Yuhang Li, Dae Lee, Andrew Park, Hongda Mao, Huyen Do, Jonathan Chung, Dinesh Nair
2023
Machine learning
Small-footprint slimmable networks for keyword spotting
Zuhaib Akhtar, Mohammad Omar Khursheed, Dongsu Du, Yuzong Liu
2023
Machine learning
ARMBench: An object-centric benchmark dataset for robotic manipulation
Chaitanya Mitash, Fan Wang, Shiyang Lu, Vikedo Terhuja, Tyler Garaas, Felipe Polido, Manikantan Nambi
2023
Related: Amazon releases largest dataset for training "pick and place" robots
Computer vision
Lighthouses and global graph stabilization: Active SLAM for low-compute, narrow-fov robots
Mohit Deshpande, Richard Kim, Dhruva Kumar, Jong Jin Park, Jim Zamiska
2023
Robotics
Robustification of multilingual language models to real-world noise in crosslingual zero-shot settings with robust contrastive pretraining
Asa Cooper Stickland, Sailik Sengupta, Jason Krone, He He, Saab Mansour
2023
Conversational AI / Natural-language processing
Fixed-point quantization aware training for on-device keyword-spotting
Sashank Macha, Om Oza, Alex Escott, Francesco Caliva, Robbie Armitano, Santosh Kumar Cheekatmalla, Sree Hari Krishnan Parthasarathi, Yuzong Liu
2023
Conversational AI / Natural-language processing
Transformer-based bioacoustic sound event detection on few-shot learning tasks
Liwen You, Erika Pelaez Coyotl, Suren Gunturu, Maarten Van Segbroeck
2023
Machine learning
Slot-triggered contextual biasing for personalized speech recognition using neural transducers
Sibo Tong, Philip Harding, Simon Wiesler
2023
Conversational AI / Natural-language processing
Prune then distill: Dataset distillation with importance sampling
Anirudh Sundar, Gokce Keskin, Chander Chandak, I-Fan Chen, Pegah Ghahremani, Shalini Ghosh
2023
Machine learning
Experimental design in marketplaces
Pat Bajari, Brian Burdick, Guido Imbens, Lorenzo Masoero, James McQueen, Thomas Richardson, Ido Rosen
2023
Economics
FARSum: Feedback-aware abstractive product review summarization
Ming Wang, Javid Huseynov, Jim Chan, Jin Li
2023
Conversational AI / Natural-language processing
Improving compression efficiency using an encoder-aware motion compensated temporal filter
Rahul Vanam, Sriram Sethuraman
2023
Computer vision
A meta-learning approach to predicting performance and data requirements
Achin Jain, Gurumurthy Swaminathan, Paolo Favaro, Hao Yang, Avinash Ravichandran, Hrayr Harutyunyan, Alessandro Achille, Onkar Dabeer, Bernt Schiele, Ashwin Swaminathan, Stefano Soatto
2023
Computer vision
Explainable defense coverage classification in NFL games using deep neural networks
Huan Song, Mohamad Al Jazaery, Haibo Ding, Lin Lee Cheong, Jonathan Jung, Mike Band, Michael Chi, Tom Bliss
2023
Machine learning
Bridging the gap to real-world object-centric learning
Maximilian Seitzer, Max Horn, Andrii Zadaianchuk, Dominik Zietlow, Tianjun Xiao, Carl-Johann Simon-Gabriel, Tong He, Zheng Zhang, Bernhard Schölkopf, Thomas Brox, Francesco Locatello
2023
Computer vision
Multi-lingual evaluation of code generation models
Ben Athiwaratkun, Sanjay Krishna Gouda, Zijian Wang, Xiaopeng LI, Yuchen Tian, Ming Tan, Wasi Ahmad, Shiqi Wang, Qing Sun, Mingyue Shang, Sujan Gonugondla, Hantian Ding, Varun Kumar, Nathan Fulton, Arash Farahani, Siddhartha Jain, Robert Giaquinto, Haifeng Qian, Murali Krishna Ramanathan, Ramesh Nallapati, Baishakhi Ray, Parminder Bhatia, Sudipta Sengupta, Dan Roth, Bing Xiang
2023
Conversational AI / Natural-language processing
Estimation of SOH degradation of coin cells subjected to accelerated life cycling with randomized cycling depths and C-rates
Pradeep Lall, Ved Soni, Guneet Sethi, Kok Yiang
2023
Sustainability
Framewise WaveGAN: High speed adversarial vocoder in time domain with very low computational complexity
Ahmed Mustafa, Jean-Marc Valin, Jan Buethe, Paris Smaragdis, Mike Goodwin
2023
Machine learning
Masked vision and language modeling for multi-modal representation learning
Gukyeong Kwon, Zhaowei Cai, Avinash Ravichandran, Erhan Bas, Rahul Bhotika, Stefano Soatto
2023
Machine learning
Unsupervised model selection for time-series anomaly detection
Mononito Goswami, Cristian Challu, Laurent Callot, Lenon Minorics, Andrey Kan
2023
Machine learning
Efficient hybrid generation framework for aspect-based sentiment analysis
Haoran Lv, Junyi Liu, Henan Wang, Yaoming Wang, Jixiang Luo, Yaxiao Liu
2023