Amazon is proud to be a Platinum sponsor of the ninth International Conference on Learning Representations.
The conference 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
Cho-Jui Hsieh (Amazon Visiting Academic)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
Accepted publications (partial list)
Workshops & spotlight publications
Synthetic Data Generation: Quality, Privacy, Bias | Friday, May 7
Amazon Organizers: Aydore Sergul, Krishnaram Kenthapadi
Accepted paper: Differentially private query release through adaptive projection
The Role of Mathematical Reasoning in General Artificial Intelligence | Friday, May 7
Amazon Organizer: John Harrison
Workshop on Neural Architecture Search | Friday, May 7
Amazon Organizer: Aaron Klein
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
Connect with us
Amazon’s research teams are looking forward to meeting you during ICLR 2021. To schedule time to connect with a scientist or recruiter, email us at email@example.com.
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