Overview
NOTE: Due to the global health emergency and pervasive travel restrictions, ICLR will be a fully virtual conference. Amazon researchers look forward to participating in the virtual sessions, with more details coming soon.
Amazon is proud to be a Gold sponsor of ICLR 2020.
About ICLR: The Eighth International Conference on Learning Representations is the premier gathering of academic and industrial researchers, entrepreneurs, engineers and graduate and postdoc students dedicated to the advancement of representation learning, or deep learning.
Research presented and published at ICLR covers all aspects of deep learning used in the fields of artificial intelligence, statistics and data science, as well as important application areas such as machine vision, computational biology, speech recognition, text understanding, gaming, and robotics.
Website: https://iclr.cc/Conferences/2020
Keynote speaker
Amazon program organizing committee
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Area Chair
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Dilek Hakkani-TürArea Chair
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Kevin JamiesonArea Chair
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Area Chair
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Area Chair
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Andre MartinsArea Chair
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Jane WangArea Chair
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Area Chair
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Adam WhiteArea Chair
Publications
Workshops
ML-IRL @ICLR 2020
April 26
Accepted Paper: Towards Classification Parity Across Cohorts | Aarsh Patel, Rahul Gupta, Mukund Sridhar, Satyapriya Krishna, Alok Aman, Peng Liu
Virtual poster sessions schedule
Variance Reduction With Sparse Gradients |Melih Elibol, Lihua Lei, Michael I. Jordan
Tues Session 4 (17:00-19:00 GMT)
Tues Session 5 (20:00-22:00 GMT)
A Baseline for Few-Shot Image Classification | Guneet Singh Dhillon, Pratik Chaudhari, Avinash Ravichandran, Stefano Soatto
Tues Session 4 (17:00-19:00 GMT)
Tues Session 5 (20:00-22:00 GMT)
Empirical Bayes Transductive Meta-Learning with Synthetic Gradients
Shell Xu Hu, Pablo Moreno, Yang Xiao, Xi Shen, Guillaume Obozinski, Neil Lawrence, Andreas Damianou
Mon Session 3 (12:00-14:00 GMT)
Mon Session 5 (20:00-22:00 GMT)
Meta-Q-Learning | Rasool Fakoor, Pratik Chaudhari, Stefano Soatto, Alexander J. Smola
Mon Session 4 (17:00-19:00 GMT)
Mon Session 5 (20:00-22:00 GMT)
Rethinking the Hyperparameters for Fine-Tuning | Hao Li, Pratik Chaudhari, Hao Yang, Michael Lam, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto
Wed Session 1 (05:00-07:00 GMT)
Wed Session 5 (20:00-22:00 GMT)
Robust Reinforcement Learning for Continuous Control with Model Misspecification | Daniel J. Mankowitz, Nir Levine, Rae Jeong, Abbas Abdolmaleki, Jost Tobias Springenberg, Yuanyuan Shi, Jackie Kay, Todd Hester, Timothy Mann, Martin Riedmille
Mon Session 2 (08:00-10:00 GMT)
Mon Session 3 (12:00-14:00 GMT)
Automated Relational Meta-learning
Huaxiu Yao, Xian Wu, Zhiqiang Tao, Yaliang Li, Bolin Ding, Ruirui Li, Zhenhui Li
Wed Session 4 (17:00-19:00 GMT)
Wed Session 5 (20:00-22:00 GMT)
Minimizing FLOPs to Learn Efficient Sparse Representations | Biswajit Paria, Chih-Kuan Yeh, Ian E.H. Yen, Ning Xu, Pradeep Ravikumar, Barnabás Póczos
Mon Session 1 (05:00-07:00 GMT)
Mon Session 2 (08:00-10:00 GMT)
Network Deconvolution | Chengxi Ye, Matthew Evanusa, Hua He, Anton Mitrokhin, Tom Goldstein, James A. Yorke, Cornelia Fermuller, Yiannis Aloimonos
Thurs Session 1 (05:00-07:00 GMT)
Thurs Session 5 (20:00-22:00 GMT)
Augmenting Non-Collaborative Dialog Systems with Explicit Semantic and Strategic Dialog History | Yiheng Zhou, Yulia Tsvetkov, Alan W Black, Zhou Yu
Wed Session 1 (05:00-07:00 GMT)
Wed Session 3 (12:00-14:00 GMT)
Connect with us at ICLR 2020
Amazon scientists regret that they won't be able to meet with you in person at ICLR. If you would like to connect with one of our scientists, please contact ICLR2020@amazon.com.
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