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Washington, D.C.
Conference
KDD 2022
August 14 - 18, 2022
Washington, DC

Overview

The Knowledge Discovery and Data Mining Conference brings together researchers and practitioners from data science, data mining, knowledge discovery, large-scale data analytics, and big data.

Sponsorship Details

Gold
Conference website
Related research
Booth 145
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Amazon organizing committee members

  • Keynote Speaker
    Chandan K. Reddy
    Amazon Scholar
    Plenary keynote speaker
  • recipient-images/Danai-Koutra.png
    Keynote Speaker
    Danai Koutra
    Amazon Scholar
    Plenary keynote speaker

    • Accepted publications

    Workshops

    KDD 2022 Workshop on Automation in Machine Learning
    August 14 - August 17
    Amazon workshop chairs: Jun (Luke) Huan, Tao Wang

    Website: https://sites.google.com/view/automl2022-workshop
    KDD 2022 Workshop on Mining and Learning with Graphs
    August 15
    The workshop serves as a forum for researchers from a variety of fields working on mining and learning from graphs to share and discuss their latest findings.

    Amazon organizer: Shobeir Fakhraei

    Website: http://www.mlgworkshop.org/2022
    ColdGuess: A general and effective relational graph convolutional network to tackle cold start cases
    Bo He, Xiang Song, Vincent Gao, Christos Faloutsos
    2022
    Machine learning
    KDD 2022 Workshop on AI for Climate Mitigation, Adaptation, and Environmental Justice
    August 15 - May 15
    Since 2016, the Fragile Earth Workshop has brought together the research community to find and explore how data science can measure and progress climate and social issues, following the framework of the United Nations Sustainable Development Goals (SDGs).

    Amazon organizer: Emre Eftelioglu

    Website: https://ai4good.org/fragile-earth-2022
    KDD 2022 Workshop on Misinformation and Misbehavior Mining on the Web & Making a Credible Web for Tomorrow
    August 15
    MIS2-TrueFact@KDD 2022 provides a venue for researchers and practitioners from academia, government and industry can share insights and identify new challenges and opportunities in adjacent to these diverse areas to coalesce around central and timely topics in online misinformation and misbehavior, resolving conflicts, fact-checking and ascertaining credibility of claims and present recent advances in research.

    Amazon organizer: Mehran Kafai

    Website: http://claws.cc.gatech.edu/mis2-truefact-kdd2022.html
    KDD 2022 Workshop on Online and Adaptive Recommender Systems
    August 15
    The KDD workshop on online and adaptive recommender systems (OARS) will serve as a platform for publication and discussion of OARS. This workshop will bring together practitioners and researchers from academia and industry to discuss the challenges and approaches to implement OARS algorithms and systems, and improve user experiences by better modeling and responding to user intent.

    Amazon organizer: Tao Ye

    Website: https://oars-workshop.github.io/
    Weighing dynamic availability and consumption for Twitch recommendations
    Edgar Chen, Mark Ally, Eder Santana, Saad Ali
    2022
    Machine learning
    KDD 2022 Workshop on First Content Understanding and Generation for e-Commerce
    August 15 - May 2
    Amazon program committee: Shaunak Mishra, Soumya Roy, Shilpa Ananth, Yashal Kanungo, Indraneil Paul, Bryan Wang, Yang Liu, Jinmiao Fu, Sameer Kanase

    Amazon organizers: Sumit Negi, Rajdeep Banerjee, Manisha Verma, Pooja A

    Website: https://content-generation.github.io/workshop
    Catalog Phrase Grounding (CPG): Grounding of product textual attributes in product images for e-commerce vision-language applications
    Wenyi Wu, Karim Bouyarmane, Ismail Tutar
    2022
    Computer vision
    StFT: Style loss and Fourier transformation for domain gap reduction
    Sarthak Srivastava, Khaleeque Ansari
    2022
    Computer vision
    Machine learning attribution: Inferring item-level impact from slate recommendation in e-commerce
    Shenghe Xu, Yan Zhao, Sameer Kanase, Mitchell Goodman, Saad Khan, Brent Payne, Patricia Grao
    2022
    Machine learning
    KDD 2022 Workshop on Mining and Learning from Time Series – Deep Forecasting: Models, Interpretability, and Applications
    August 15, 8:00 AM - May 15, 5:00 PM EDT
    Amazon workshop organizers: Jun (Luke) Huan, Jan Gasthaus, Yuyang (Bernie) Wang, Hilaf Hasson, Youngsuk Park

    Website: https://kdd-milets.github.io/milets2022/
    Towards robust multivariate time-series forecasting: Adversarial attacks and defense mechanisms
    Linbo Liu, Youngsuk Park, Trong Nghia Hoang, Hilaf Hasson, Jun Huan
    2022
    Machine learning
    MQTransformer: Multi-horizon forecasts with context dependent attention and optimal bregman volatility
    Kevin C. Chen, Lee Dicker, Carson Eisenach, Dhruv Madeka
    2022
    Machine learning
    MQ-ReTCNN: Multi-horizon time series forecasting with retrieval-augmentation
    Sitan Yang, Carson Eisenach, Dhruv Madeka
    2022
    Machine learning
    Identifying and overcoming transformation bias in forecasting models
    Sushant More
    2022
    Machine learning
    Representation learning using a multi-branch transformer for industrial time series anomaly detection
    Ruichuan Zhang, Fangzhou Cheng, Aparna Pandey
    2022
    Machine learning
    KDD 2022 Cup ESCI Challenge for Improving Product Search
    August 15
    In this challenge, we introduce the “Shopping Queries Data Set”, a large dataset of difficult search queries, published with the aim of fostering research in the area of semantic matching of queries and products. The primary objective is to build new ranking strategies and, simultaneously, identify interesting categories of results (i.e., substitutes) that can be used to improve the customer experience when searching for products.

    Amazon chair: Karthik Subbian

    Amazon organizers: Lluis Marquez, Fran Valero, Nikhil Rao, Hugo Zaragoza, Sambaran Bandyopadhyay, Arnab Biswas, Anlu Xing, Chandan K Reddy

    Website: https://www.aicrowd.com/challenges/esci-challenge-for-improving-product-search
    KDD 2022 Workshop on Applied Machine Learning Management
    August 15
    The workshop on Applied Machine Learning Management brings together applied research managers from various fields to share methodologies and case-studies on management of ML teams, products, and projects, achieving business impact with advanced AI-methods.

    Amazon organizer: Elena Sokolova

    Amazon speaker: Shiv Vitaladevuni

    Website: https://wamlm-kdd.github.io/2022
    KDD 2022 Workshop on Anomaly and Novelty Detection, Explanation, and Accommodation (ANDEA)
    August 15
    This workshop will gather researchers and practitioners from diverse communities and knowledge background to promote the development of fundamental theories, effective algorithms, and novel applications of anomaly and novelty detection, characterization, and adaptation.

    Amazon organizer: Anton van den Hengel

    Website: https://sites.google.com/view/andea2022
    One-class predictive autoencoder towards unsupervised anomaly detection on industrial time series
    Hongjing Zhang, Fangzhou Cheng, Aparna Pandey
    2022
    Machine learning
    KDD 2022 Workshop on Artificial Intelligence for Computational Advertising (AdKDD)
    August 15
    AdKDD 2022 is the leading workshop on artificial intelligence for computational advertising in conjunction with KDD 2022.

    Amazon organizer: Kun Liu

    Website: https://www.adkdd.org
    Learning to bid with AuctionGym
    Olivier Jeunen, Sean Murphy, Ben Allison
    2022
    Related: Amazon scientists win best-paper award for ad auction simulator
    Machine learning
    KDD 2022 Workshop on AI-enabled Cybersecurity Analytics and Deployable Defense
    August 15
    This workshop aims to convene academics and practitioners (from industry and government) to share, disseminate, and communicate completed research papers, work in progress, and review articles about AI-enabled cybersecurity analytics and deployable AI-based security defenses.

    Website: https://ai4cyber-kdd.com
    Firenze: Model evaluation using weak signals
    Bhavna Soman, Ali Torkamani, Mike Morais, Jeffrey Bickford, Baris Coskun
    2022
    Security, privacy, and abuse prevention
    KDD 2022 Workshop on Decision Intelligence and Analytics for Online Marketplaces
    August 15
    The goal of this workshop is to offer an opportunity to appreciate the diversity in applications, to draw connections to inform decision optimization across different industries, and to discover new problems that are fundamental to marketplaces of different domains.

    Amazon speaker: Rui Song

    Website: https://sites.google.com/view/kdd22onlinemarketplaces

    Tutorials

    KDD 2022 Tutorial on Hyperbolic Neural Networks: Theory, Architectures and Applications
    August 14, 1:00 PM - 5:00 PM EDT
    The goal of this tutorial is to introduce researchers/practitioners to the fundamentals of hyperbolic geometry and explain the basic implementations of Hyperbolic models. We will describe the hyperbolic variants of the widely used deep learning architectures (such as GNNs, RNNs, and CNNs) and demonstrate their advantages over the standard Euclidean counterparts.

    Amazon organizers: Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Srinivasan H. Sengamedu, and Chandan K. Reddy

    Website: https://www.nurendra.me/hyperbolic-networks-tutorial
    KDD 2022 Tutorial on Graph Neural Networks in Life Sciences
    August 14, 1:00 PM - 5:00 PM EDT
    Graphs are ubiquitous representation in life sciences and medicine. Recent advance in graph machine learning (ML) approaches such as graph neural networks (GNNs) has transformed a diverse set of problems relying on biomedical networks. The objective of this tutorial is twofold. First, it will provide a comprehensive overview of the types of biomedical graphs/networks, the underlying biological and medical problems, and the applications of graph ML algorithms for solving those problems. Second, it will showcase four concrete GNN solutions in life sciences with hands-on experience for the attendees.

    Amazon organizers: Zichen Wang, Vassilis N. Ioannidis, Huzefa Rangwala, Tatsuya Arai, Ryan Brand, Mufei Li, Yohei Nakayama

    Website: https://github.com/dglai/Graph-Neural-Networks-in-Life-Sciences
    KDD 2022 Tutorial on Anomaly Detection for Spatiotemporal Data in Action
    Unknown date
    Amazon authors: Guang Yang, Ninad D Kulkarni, Paavani Dua, Dipika Khullar, Alex Anto Chirayath
    KDD 2022 Tutorial on Multimodal AutoML for Image, Text and Tabular Data
    Unknown date
    Amazon authors: Nick Erickson, Xingjian Shi, James Sharpnack, Alexander Smola
    KDD 2022 Tutorial on Model Monitoring in Practice: Lessons Learned and Open Challenges
    Unknown date
    Amazon author: Pradeep Natarajan
    KDD 2022 Tutorial on Prediction for Enormous and Correlated Output Spaces (PECOS)
    Unknown date
    Amazon authors: Hsiang-Fu Yu, Wei-Cheng Chang, Jyun-Yu Jiang, Wei Li

    Related content

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