ICLR 2017 Submissions

On the Limits of Learning Representations with Label-Based Supervision
Jiaming Song, Russell Stewart, Shengjia Zhao, Stefano Ermon
- 17 Feb 2017 (modified: 13 Mar 2017)
- ICLR 2017
- Readers: Everyone
REBAR: Low-variance, unbiased gradient estimates for discrete latent variable models
George Tucker, Andriy Mnih, Chris J. Maddison, Jascha Sohl-Dickstein
- 11 Feb 2017 (modified: 17 Mar 2017)
- ICLR 2017
- Readers: Everyone
Perception Updating Networks: On architectural constraints for interpretable video generative models
Decoupled "what" and "where" variational statistical framework and equivalent multi-stream network,
- 12 Feb 2017 (modified: 21 Jul 2022)
- ICLR 2017 Invite to Workshop
- Readers: Everyone
Joint Training of Ratings and Reviews with Recurrent Recommender Networks
Chao-Yuan Wu, Amr Ahmed, Alex Beutel, Alexander J. Smola
- 17 Feb 2017 (modified: 21 Jul 2022)
- Submitted to ICLR 2017
- Readers: Everyone
Embracing Data Abundance
Ondrej Bajgar, Rudolf Kadlec and Jan Kleindienst,
- 17 Feb 2017
- ICLR 2017
- Readers: Everyone
Regularizing Neural Networks by Penalizing Confident Output Distributions
Gabriel Pereyra, George Tucker, Jan Chorowski, Lukasz Kaiser, Geoffrey Hinton
- 15 Feb 2017 (modified: 22 Oct 2023)
- Submitted to ICLR 2017
- Readers: Everyone
Changing Model Behavior at Test-time Using Reinforcement Learning
Augustus Odena, Dieterich Lawson, Christopher Olah
- 17 Feb 2017
- ICLR 2017
- Readers: Everyone
Development of JavaScript-based deep learning platform and application to distributed training
Masatoshi Hidaka, Ken Miura, Tatsuya Harada
- 09 Feb 2017 (modified: 21 Jul 2022)
- ICLR 2017 Invite to Workshop
- Readers: Everyone
THE PREIMAGE OF RECTIFIER NETWORK ACTIVITIES
Stefan Carlsson, Hossein Azizpour, Ali Razavian, Josephine Sullivan, Kevin Smith
- 17 Feb 2017 (modified: 14 Mar 2017)
- ICLR 2017
- Readers: Everyone
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
Antti Tarvainen, Harri Valpola
- 17 Feb 2017 (modified: 13 Jun 2017)
- ICLR 2017
- Readers: Everyone
HiNet : Hierarchical Classification with Neural Network
Zhenzhou Wu, Sean Saito
- 17 Feb 2017 (modified: 15 Jan 2018)
- ICLR 2017
- Readers: Everyone
Joint Multimodal Learning with Deep Generative Models
Masahiro Suzuki, Kotaro Nakayama, Yutaka Matsuo
- 17 Feb 2017 (modified: 21 Jul 2022)
- Submitted to ICLR 2017
- Readers: Everyone
Towards "AlphaChem": Chemical Synthesis Planning with Tree Search and Deep Neural Network Policies
Marwin Segler, Mike Preuss, Mark P. Waller
- 02 Feb 2017 (modified: 16 Mar 2017)
- ICLR 2017
- Readers: Everyone
Programming With a Differentiable Forth Interpreter
Matko Bošnjak, Tim Rocktäschel, Jason Naradowsky, Sebastian Riedel
- 17 Feb 2017 (modified: 21 Jul 2022)
- ICLR 2017 Invite to Workshop
- Readers: Everyone
Learning Algorithms for Active Learning
Philip Bachman, Alessandro Sordoni, Adam Trischler
- 17 Feb 2017 (modified: 17 Mar 2017)
- ICLR 2017
- Readers: Everyone
The Effectiveness of Transfer Learning in Electronic Health Records Data
Sebastien Dubois, Nathanael Romano, Kenneth Jung, Nigam Shah, and David C. Kale
- 17 Feb 2017 (modified: 17 Feb 2017)
- ICLR 2017
- Readers: Everyone
De novo drug design with deep generative models : an empirical study
Mehdi cherti, Balazs Kegl, Akin kazakci
- 17 Feb 2017 (modified: 10 Mar 2017)
- ICLR 2017
- Readers: Everyone
Multiplicative LSTM for sequence modelling
Ben Krause, Iain Murray, Steve Renals, Liang Lu
- 16 Feb 2017 (modified: 22 Oct 2023)
- ICLR 2017 Invite to Workshop
- Readers: Everyone
Accelerating Eulerian Fluid Simulation With Convolutional Networks
Jonathan Tompson, Kristofer Schlachter, Pablo Sprechmann, Ken Perlin
- 17 Feb 2017 (modified: 24 Feb 2017)
- ICLR 2017
- Readers: Everyone
Style Transfer Generative Adversarial Networks: Learning to Play Chess Differently
Muthuraman Chidambaram, Yanjun Qi
- 16 Feb 2017 (modified: 16 Mar 2017)
- ICLR 2017
- Readers: Everyone
Generative Adversarial Learning of Markov Chains
Jiaming Song, Shengjia Zhao, Stefano Ermon
- 17 Feb 2017 (modified: 18 Feb 2017)
- ICLR 2017
- Readers: Everyone
The High-Dimensional Geometry of Binary Neural Networks
Alexander G. Anderson, Cory P. Berg
- 16 Feb 2017 (modified: 15 Mar 2017)
- ICLR 2017
- Readers: Everyone
Adversarial examples for generative models
Jernej Kos, Ian Fischer, Dawn Song
- 17 Feb 2017 (modified: 22 Oct 2023)
- Submitted to ICLR 2017
- Readers: Everyone
Deep Nets Don't Learn via Memorization
David Krueger*, Nicolas Ballas*, Stanislaw Jastrzebski*, Devansh Arpit*, Maxinder S. Kanwal, Tegan Maharaj, Emmanuel Bengio, Asja Fischer, Aaron Courville
- 17 Feb 2017 (modified: 21 Feb 2017)
- ICLR 2017
- Readers: Everyone
Delving into adversarial attacks on deep policies
Jernej Kos, Dawn Song
- 16 Feb 2017 (modified: 12 Mar 2017)
- ICLR 2017
- Readers: Everyone