ICLR

On the Long-Term Memory of Deep Recurrent Networks

Yoav Levine, Or Sharir, Alon Ziv, Amnon Shashua

Comments An earlier version of this paper was accepted to the workshop track of the 6th International Conference on Learning Representations (ICLR) 2018

Active Learning for Convolutional Neural Networks: A Core-Set Approach

Ozan Sener, Silvio Savarese

Comments ICLR 2018 Paper

Multi-Mention Learning for Reading Comprehension with Neural Cascades

Swabha Swayamdipta, Ankur P. Parikh, Tom Kwiatkowski

Comments Proceedings of ICLR 2018

Truncated Horizon Policy Search: Combining Reinforcement Learning & Imitation Learning

Wen Sun, J. Andrew Bagnell, Byron Boots

Comments ICLR 2018

Natural Language Inference over Interaction Space

Yichen Gong, Heng Luo, Jian Zhang

Comments 15 pages, 2 figures, under review as ICLR proceeding, Published at Sixth International Conference on Learning Representations, ICLR 2018

Communication Algorithms via Deep Learning

Hyeji Kim, Yihan Jiang, Ranvir Rana, Sreeram Kannan, Sewoong Oh, Pramod Viswanath

Comments 19 pages, published as a conference paper at ICLR 2018

Semi-Supervised Learning with GANs: Revisiting Manifold Regularization

Bruno Lecouat, Chuan-Sheng Foo, Houssam Zenati, Vijay R. Chandrasekhar

Comments Accepted paper

Journal ref Workshop track - ICLR 2018

Fidelity-Weighted Learning

Mostafa Dehghani, Arash Mehrjou, Stephan Gouws, Jaap Kamps, Bernhard Schölkopf

Comments Published as a conference paper at ICLR 2018

Leveraging Grammar and Reinforcement Learning for Neural Program Synthesis

Rudy Bunel, Matthew Hausknecht, Jacob Devlin, Rishabh Singh, Pushmeet Kohli

Comments ICLR 2018

On the importance of single directions for generalization

Ari S. Morcos, David G. T. Barrett, Neil C. Rabinowitz, Matthew Botvinick

Comments ICLR 2018 conference paper; added additional methodological details

PixelDefend: Leveraging Generative Models to Understand and Defend against Adversarial Examples

Yang Song, Taesup Kim, Sebastian Nowozin, Stefano Ermon, Nate Kushman

Comments ICLR 2018

Variational Continual Learning

Cuong V. Nguyen, Yingzhen Li, Thang D. Bui, Richard E. Turner

Comments Published at International Conference on Learning Representations (ICLR) 2018

Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models

Pouya Samangouei, Maya Kabkab, Rama Chellappa

Comments Published as a conference paper at the Sixth International Conference on Learning Representations (ICLR 2018)

Generative networks as inverse problems with Scattering transforms

Tomás Angles, Stéphane Mallat

Comments International Conference on Learning Representations, 2018

Improving GAN Training via Binarized Representation Entropy (BRE) Regularization

Yanshuai Cao, Gavin Weiguang Ding, Kry Yik-Chau Lui, Ruitong Huang

Comments Published as a conference paper at the 6th International Conference on Learning Representations (ICLR 2018)

Learning to Teach

Yang Fan, Fei Tian, Tao Qin, Xiang-Yang Li, Tie-Yan Liu

Comments ICLR 2018

Emergence of grid-like representations by training recurrent neural networks to perform spatial localization

Christopher J. Cueva, Xue-Xin Wei

Journal ref International Conference on Learning Representations (ICLR) 2018

Decoding Decoders: Finding Optimal Representation Spaces for Unsupervised Similarity Tasks

Vitalii Zhelezniak, Dan Busbridge, April Shen, Samuel L. Smith, Nils Y. Hammerla

Comments ICLR 2018 Workshop Track, 15 pages, 3 figures, 6 tables

Empirical Analysis of the Hessian of Over-Parametrized Neural Networks

Levent Sagun, Utku Evci, V. Ugur Guney, Yann Dauphin, Leon Bottou

Comments Minor update for ICLR 2018 Workshop Track presentation

Learning to Represent Programs with Graphs

Miltiadis Allamanis, Marc Brockschmidt, Mahmoud Khademi

Comments Published in ICLR 2018. arXiv admin note: text overlap with arXiv:1705.07867

Generalizing Across Domains via Cross-Gradient Training

Shiv Shankar, Vihari Piratla, Soumen Chakrabarti, Siddhartha Chaudhuri, Preethi Jyothi, Sunita Sarawagi

Comments The first two authors contributed equally; Accepted at ICLR 2018

Variational image compression with a scale hyperprior

Johannes Ballé, David Minnen, Saurabh Singh, Sung Jin Hwang, Nick Johnston

Comments accepted as a conference contribution to International Conference on Learning Representations 2018

Learn To Pay Attention

Saumya Jetley, Nicholas A. Lord, Namhoon Lee, Philip H. S. Torr

Comments International Conference on Learning Representations 2018

Quantitatively Evaluating GANs With Divergences Proposed for Training

Daniel Jiwoong Im, He Ma, Graham Taylor, Kristin Branson

Comments ICLR 2018

Beyond Word Importance: Contextual Decomposition to Extract Interactions from LSTMs

W. James Murdoch, Peter J. Liu, Bin Yu

Comments Oral presentation at ICLR 2018

mixup: Beyond Empirical Risk Minimization

Hongyi Zhang, Moustapha Cisse, Yann N. Dauphin, David Lopez-Paz

Comments ICLR camera ready version. Changes vs V1: fix repo URL; add ablation studies; add mixup + dropout etc

Intrinsic Motivation and Automatic Curricula via Asymmetric Self-Play

Sainbayar Sukhbaatar, Zeming Lin, Ilya Kostrikov, Gabriel Synnaeve, Arthur Szlam, Rob Fergus

Comments Published in ICLR 2018

Sparse Persistent RNNs: Squeezing Large Recurrent Networks On-Chip

Feiwen Zhu, Jeff Pool, Michael Andersch, Jeremy Appleyard, Fung Xie

Comments Published as a conference paper at ICLR 2018

IamNN: Iterative and Adaptive Mobile Neural Network for Efficient Image Classification

Sam Leroux, Pavlo Molchanov, Pieter Simoens, Bart Dhoedt, Thomas Breuel, Jan Kautz

Comments ICLR 2018 Workshop track

Hierarchical Density Order Embeddings

Ben Athiwaratkun, Andrew Gordon Wilson

Comments Published at ICLR 2018