The 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.
Amazon organizing committee members
Cédric ArchambeauArea Chair
Amazon Visiting Academic
Cho-Jui Hsieh (Amazon Visiting Academic)Area Chair
Brian Kulis (Amazon Scholar)Area Chair
Julian McAuley (Amazon Scholar)Area Chair
Aravind Srinivasan (Amazon Scholar)Area Chair
Rene Vidal (Amazon Scholar)Area Chair
Andrew Wilson (Amazon Visiting Academic)Area Chair
Amazon organizers: Sergul Aydore, Krishnaram Kenthapadi
Amazon program committee member: Luca Melis
Workshop website: https://sites.google.com/connect.hku.hk/robustml-2021/home
DDPNOpt: Differential Dynamic Programming Neural Optimizer
Guan-Horng Liu, Tianrong Chen, Evangelos Theodorou (Amazon Scholar)
Disentangled Recurrent Wasserstein Autoencoder
Jun Han, Martin Renqiang Min, Ligong Han, Li Erran Li, Xuan Zhang
Predicting Infectiousness for Proactive Contact Tracing
Yoshua Bengio, Prateek Gupta, Tegan Maharaj, Nasim Rahaman, Martin Weiss, Tristan Deleu, Eilif Benjamin Muller, Meng Qu, Victor Schmidt, Pierre-luc St-charles, Hannah Alsdurf, Olexa Bilaniuk, David Buckeridge, gaetan caron, Pierre luc Carrier, Joumana Ghosn, Satya Ortiz Gagne, Christopher Pal, Irina Rish, Bernhard Schölkopf, Abhinav Sharma, Jian Tang, Andrew Williams
Recurrent Independent Mechanisms
Anirudh Goyal, Alex Lamb, Shagun Sodhani, Jordan Hoffmann, Sergey Levine, Yoshua Bengio, Bernhard Schölkopf
Structured Prediction as Translation between Augmented Natural Languages
Giovanni Paolini, Ben Athiwaratkun , Jason Krone, Jie Ma, Alessandro Achille, Rishita Anubhai, Cicero Nogueira dos Santos, Bing Xiang, Stefano Soatto
Uncertainty Sets for Image Classifiers using Conformal Prediction
Anastasios Nikolas Angelopoulos, Stephen Bates, Michael Jordan (Amazon Scholar), Jitendra Malik
May 02, 2023Two recent trends in the theory of deep learning are examinations of the double-descent phenomenon and more-realistic approaches to neural kernel methods.
May 02, 2023ICLR workshop sponsored by Amazon CodeWhisperer features Amazon papers on a novel contrastive-learning framework for causal language models and a way to gauge the robustness of code generation models.
May 03, 2021Workshop at ICLR 2021 unites communities investigating synthetic data generation to improve machine learning and protect privacy.