ICLR

Diversity Networks: Neural Network Compression Using Determinantal Point Processes

Zelda Mariet, Suvrit Sra

Comments This paper appeared under the shorter title Diversity Networks at ICLR 2016 (http://www.iclr.cc/doku.php?id=iclr2016:main#accepted_papers_conference_track)

Inductive Bias of Deep Convolutional Networks through Pooling Geometry

Nadav Cohen, Amnon Shashua

Comments Published as a conference paper at ICLR 2017

Stochastic Neural Networks for Hierarchical Reinforcement Learning

Carlos Florensa, Yan Duan, Pieter Abbeel

Comments Published as a conference paper at ICLR 2017

Journal ref International Conference on Learning Representations 2017

Automated Generation of Multilingual Clusters for the Evaluation of Distributed Representations

Philip Blair, Yuval Merhav, Joel Barry

Comments Published as a workshop paper at ICLR 2017

Adversarial Feature Learning

Jeff Donahue, Philipp Krähenbühl, Trevor Darrell

Comments Published as a conference paper at ICLR 2017. Changelog: (v7) Table 2 results improved 1-2% due to averaging predictions over 10 crops at test time, as done in Noroozi & Favaro; Table 3 VOC classification results slightly improved due to minor bugfix. (See v6 changelog for previous versions.)

Stick-Breaking Variational Autoencoders

Eric Nalisnick, Padhraic Smyth

Comments ICLR 2017, Conference Track

Sparsely-Connected Neural Networks: Towards Efficient VLSI Implementation of Deep Neural Networks

Arash Ardakani, Carlo Condo, Warren J. Gross

Comments Published as a conference paper at ICLR 2017

Learning End-to-End Goal-Oriented Dialog

Antoine Bordes, Y-Lan Boureau, Jason Weston

Comments Accepted as a conference paper at ICLR 2017

CommAI: Evaluating the first steps towards a useful general AI

Marco Baroni, Armand Joulin, Allan Jabri, Germàn Kruszewski, Angeliki Lazaridou, Klemen Simonic, Tomas Mikolov

Comments Published in ICLR 2017 Workshop Track

Hadamard Product for Low-rank Bilinear Pooling

Jin-Hwa Kim, Kyoung-Woon On, Woosang Lim, Jeonghee Kim, Jung-Woo Ha, Byoung-Tak Zhang

Comments 13 pages, 1 figure, & appendix. ICLR 2017 accepted

Early Methods for Detecting Adversarial Images

Dan Hendrycks, Kevin Gimpel

Comments ICLR 2017 Workshop Contribution

Multimodal Compact Bilinear Pooling for Multimodal Neural Machine Translation

Jean-Benoit Delbrouck, Stephane Dupont

Comments Submitted to ICLR Workshop 2017

Learning to Generate Samples from Noise through Infusion Training

Florian Bordes, Sina Honari, Pascal Vincent

Comments Published as a conference paper at ICLR 2017

Transfer Learning for Sequence Tagging with Hierarchical Recurrent Networks

Zhilin Yang, Ruslan Salakhutdinov, William W. Cohen

Comments Accepted as a conference paper at ICLR 2017. This is an extended version of the original paper (https://arxiv.org/abs/1603.06270). The original paper proposes a new architecture, while this version focuses on transfer learning for a general model class

Diet Networks: Thin Parameters for Fat Genomics

Adriana Romero, Pierre Luc Carrier, Akram Erraqabi, Tristan Sylvain, Alex Auvolat, Etienne Dejoie, Marc-André Legault, Marie-Pierre Dubé, Julie G. Hussin, Yoshua Bengio

Journal ref ICLR 2017

Towards a Neural Statistician

Harrison Edwards, Amos Storkey

Comments Updated to camera ready version for ICLR 2017

Improving Policy Gradient by Exploring Under-appreciated Rewards

Ofir Nachum, Mohammad Norouzi, Dale Schuurmans

Comments Published as a conference paper at ICLR 2017

Highway and Residual Networks learn Unrolled Iterative Estimation

Klaus Greff, Rupesh K. Srivastava, Jürgen Schmidhuber

Comments 10 + 4 pages, accepted for ICLR 2017

Temporal Ensembling for Semi-Supervised Learning

Samuli Laine, Timo Aila

Comments Final ICLR 2017 version. Includes new results for CIFAR-100 with additional unlabeled data from Tiny Images dataset

Multi-view Recurrent Neural Acoustic Word Embeddings

Wanjia He, Weiran Wang, Karen Livescu

Comments Appearing in ICLR 2017

Robustness to Adversarial Examples through an Ensemble of Specialists

Mahdieh Abbasi, Christian Gagné

Comments Submitted to ICLR 2017 Workshop Track

Generalizing Skills with Semi-Supervised Reinforcement Learning

Chelsea Finn, Tianhe Yu, Justin Fu, Pieter Abbeel, Sergey Levine

Comments ICLR 2017

An Information-Theoretic Framework for Fast and Robust Unsupervised Learning via Neural Population Infomax

Wentao Huang, Kechen Zhang

Comments 25 pages, 7 figures, 5th International Conference on Learning Representations (ICLR 2017)

Deep Biaffine Attention for Neural Dependency Parsing

Timothy Dozat, Christopher D. Manning

Comments Accepted to ICLR 2017; updated with new results and comparison to more recent models, including current state-of-the-art

Pruning Filters for Efficient ConvNets

Hao Li, Asim Kadav, Igor Durdanovic, Hanan Samet, Hans Peter Graf

Comments Published as a conference paper at ICLR 2017

A Structured Self-attentive Sentence Embedding

Zhouhan Lin, Minwei Feng, Cicero Nogueira dos Santos, Mo Yu, Bing Xiang, Bowen Zhou, Yoshua Bengio

Comments 15 pages with appendix, 7 figures, 4 tables. Conference paper in 5th International Conference on Learning Representations (ICLR 2017)

Learning to Remember Rare Events

Łukasz Kaiser, Ofir Nachum, Aurko Roy, Samy Bengio

Comments Conference paper accepted for ICLR'17

Learning Invariant Feature Spaces to Transfer Skills with Reinforcement Learning

Abhishek Gupta, Coline Devin, YuXuan Liu, Pieter Abbeel, Sergey Levine

Comments Published as a conference paper at ICLR 2017

Data Noising as Smoothing in Neural Network Language Models

Ziang Xie, Sida I. Wang, Jiwei Li, Daniel Lévy, Aiming Nie, Dan Jurafsky, Andrew Y. Ng

Comments ICLR 2017

DeepCoder: Learning to Write Programs

Matej Balog, Alexander L. Gaunt, Marc Brockschmidt, Sebastian Nowozin, Daniel Tarlow

Comments Submitted to ICLR 2017