ICLR

Deep Learning with Dynamic Computation Graphs

Moshe Looks, Marcello Herreshoff, DeLesley Hutchins, Peter Norvig

Comments Published as a conference paper at ICLR 2017

DSD: Dense-Sparse-Dense Training for Deep Neural Networks

Song Han, Jeff Pool, Sharan Narang, Huizi Mao, Enhao Gong, Shijian Tang, Erich Elsen, Peter Vajda, Manohar Paluri, John Tran, Bryan Catanzaro, William J. Dally

Comments Published as a conference paper at ICLR 2017

Trace Norm Regularised Deep Multi-Task Learning

Yongxin Yang, Timothy M. Hospedales

Comments Submission to Workshop track - ICLR 2017

Deep Multi-task Representation Learning: A Tensor Factorisation Approach

Yongxin Yang, Timothy Hospedales

Comments 9 pages, Accepted to ICLR 2017 Conference Track. This is a conference version of the paper. For the multi-domain learning part (not in this version), please refer to https://arxiv.org/pdf/1605.06391v1.pdf

Discovering objects and their relations from entangled scene representations

David Raposo, Adam Santoro, David Barrett, Razvan Pascanu, Timothy Lillicrap, Peter Battaglia

Comments ICLR Workshop 2017

Structured Attention Networks

Yoon Kim, Carl Denton, Luong Hoang, Alexander M. Rush

Comments ICLR 2017

Dropout with Expectation-linear Regularization

Xuezhe Ma, Yingkai Gao, Zhiting Hu, Yaoliang Yu, Yuntian Deng, Eduard Hovy

Comments Published as a conference paper at ICLR 2017. Camera-ready Version. 23 pages (paper + appendix)

Frustratingly Short Attention Spans in Neural Language Modeling

Michał Daniluk, Tim Rocktäschel, Johannes Welbl, Sebastian Riedel

Comments Published as a conference paper at ICLR 2017

Learning to Act by Predicting the Future

Alexey Dosovitskiy, Vladlen Koltun

Comments Published as a conference paper at ICLR 2017

Exploring loss function topology with cyclical learning rates

Leslie N. Smith, Nicholay Topin

Comments Submitted as an ICLR 2017 Workshop paper

Offline bilingual word vectors, orthogonal transformations and the inverted softmax

Samuel L. Smith, David H. P. Turban, Steven Hamblin, Nils Y. Hammerla

Comments Accepted to conference track at ICLR 2017

Batch Policy Gradient Methods for Improving Neural Conversation Models

Kirthevasan Kandasamy, Yoram Bachrach, Ryota Tomioka, Daniel Tarlow, David Carter

Comments International Conference on Learning Representations (ICLR) 2017

SampleRNN: An Unconditional End-to-End Neural Audio Generation Model

Soroush Mehri, Kundan Kumar, Ishaan Gulrajani, Rithesh Kumar, Shubham Jain, Jose Sotelo, Aaron Courville, Yoshua Bengio

Comments Published as a conference paper at ICLR 2017

Recurrent Mixture Density Network for Spatiotemporal Visual Attention

Loris Bazzani, Hugo Larochelle, Lorenzo Torresani

Comments ICLR 2017

On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima

Nitish Shirish Keskar, Dheevatsa Mudigere, Jorge Nocedal, Mikhail Smelyanskiy, Ping Tak Peter Tang

Comments Accepted as a conference paper at ICLR 2017

Learning Semantic Script Knowledge with Event Embeddings

Ashutosh Modi, Ivan Titov

Comments 4 Pages, 1 figure, ICLR Workshop

A Learned Representation For Artistic Style

Vincent Dumoulin, Jonathon Shlens, Manjunath Kudlur

Comments 9 pages. 15 pages of Appendix, International Conference on Learning Representations (ICLR) 2017

Regularizing Neural Networks by Penalizing Confident Output Distributions

Gabriel Pereyra, George Tucker, Jan Chorowski, Łukasz Kaiser, Geoffrey Hinton

Comments Submitted to ICLR 2017

Human perception in computer vision

Ron Dekel

Comments Under review as a conference paper at ICLR 2017

Alternating Direction Method of Multipliers for Sparse Convolutional Neural Networks

Farkhondeh Kiaee, Christian Gagné, Mahdieh Abbasi

Comments Under review as a conference paper at ICLR 2017. arXiv admin note: text overlap with arXiv:1111.6188 by other authors

Neural Combinatorial Optimization with Reinforcement Learning

Irwan Bello, Hieu Pham, Quoc V. Le, Mohammad Norouzi, Samy Bengio

Comments Under review as a conference paper at ICLR 2017

Learning to Navigate in Complex Environments

Piotr Mirowski, Razvan Pascanu, Fabio Viola, Hubert Soyer, Andrew J. Ballard, Andrea Banino, Misha Denil, Ross Goroshin, Laurent Sifre, Koray Kavukcuoglu, Dharshan Kumaran, Raia Hadsell

Comments 11 pages, 5 appendix pages, 11 figures, 3 tables, under review as a conference paper at ICLR 2017

Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders

Nat Dilokthanakul, Pedro A. M. Mediano, Marta Garnelo, Matthew C. H. Lee, Hugh Salimbeni, Kai Arulkumaran, Murray Shanahan

Comments 12 pages, 6 figures, Under review as a conference paper at ICLR 2017

Modularized Morphing of Neural Networks

Tao Wei, Changhu Wang, Chang Wen Chen

Comments 12 pages, 6 figures, Under review as a conference paper at ICLR 2017

FastText.zip: Compressing text classification models

Armand Joulin, Edouard Grave, Piotr Bojanowski, Matthijs Douze, Hérve Jégou, Tomas Mikolov

Comments Submitted to ICLR 2017

Improving Neural Language Models with a Continuous Cache

Edouard Grave, Armand Joulin, Nicolas Usunier

Comments Submitted to ICLR 2017

Towards Information-Seeking Agents

Philip Bachman, Alessandro Sordoni, Adam Trischler

Comments Under review for ICLR 2017

Training CNNs with Low-Rank Filters for Efficient Image Classification

Yani Ioannou, Duncan Robertson, Jamie Shotton, Roberto Cipolla, Antonio Criminisi

Comments Published as a conference paper at ICLR 2016. v3: updated ICLR status. v2: Incorporated reviewer's feedback including: Amend Fig. 2 and 5 descriptions to explain that there are no ReLUs within the figures. Fix headings of Table 5 - Fix typo in the sentence at bottom of page 6. Add ref. to Predicting Parameters in Deep Learning. Fix Table 6, GMP-LR and GMP-LR-2x had incorrect numbers of filters

Journal ref International Conference on Learning Representations (ICLR), San Juan, Puerto Rico, 2-4 May 2016

Learning to Draw Samples: With Application to Amortized MLE for Generative Adversarial Learning

Dilin Wang, Qiang Liu

Comments Under review as a conference paper at ICLR 2017

Learning Python Code Suggestion with a Sparse Pointer Network

Avishkar Bhoopchand, Tim Rocktäschel, Earl Barr, Sebastian Riedel

Comments Under review as a conference paper at ICLR 2017