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期刊&会议

International Conference on Learning Representations · 会议 · Machine Learning

共收录 9461
1710.03740 2018-02-19 cs.AI cs.LG stat.ML

Mixed Precision Training

Paulius Micikevicius, Sharan Narang, Jonah Alben, Gregory Diamos, Erich Elsen, David Garcia, Boris Ginsburg, Michael Houston, Oleksii Kuchaiev, Ganesh Venkatesh, Hao Wu

Comments Published as a conference paper at ICLR 2018

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1710.11622 2018-02-16 cs.LG cs.AI cs.NE

Meta-Learning and Universality: Deep Representations and Gradient Descent can Approximate any Learning Algorithm

Chelsea Finn, Sergey Levine

Comments ICLR 2018

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1710.06451 2018-02-16 cs.LG cs.AI stat.ML

A Bayesian Perspective on Generalization and Stochastic Gradient Descent

Samuel L. Smith, Quoc V. Le

Comments 13 pages, 9 figures. Published as a conference paper at ICLR 2018

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1711.01768 2018-02-15 stat.ML cs.CR cs.CV cs.LG

Towards Reverse-Engineering Black-Box Neural Networks

Seong Joon Oh, Max Augustin, Bernt Schiele, Mario Fritz

Comments 20 pages, 12 figures, to appear at ICLR'18. Code: https://goo.gl/MbYfsv

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1802.04335 2018-02-14 cs.AI cs.CL cs.PL

Neural Program Search: Solving Programming Tasks from Description and Examples

Illia Polosukhin, Alexander Skidanov

Comments 9 pages, 3 figures, ICLR workshop

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1711.00108 2018-02-14 cs.LG cs.AI stat.ML

Beyond Shared Hierarchies: Deep Multitask Learning through Soft Layer Ordering

Elliot Meyerson, Risto Miikkulainen

Comments 14 pages (main paper: 10 pages). Published as a conference paper at ICLR 2018

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1703.06846 2018-02-14 cs.LG cs.NE

Boosting Dilated Convolutional Networks with Mixed Tensor Decompositions

Nadav Cohen, Ronen Tamari, Amnon Shashua

Comments Published as a conference paper at ICLR 2018

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1802.02154 2018-02-13 cond-mat.dis-nn cond-mat.stat-mech stat.ML

Critical Percolation as a Framework to Analyze the Training of Deep Networks

Zohar Ringel, Rodrigo de Bem

Comments Accepted to ICLR 2018 as a conference paper

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1709.05027 2018-02-13 cs.LG cs.AI cs.CL cs.NE

Learning Intrinsic Sparse Structures within Long Short-Term Memory

Wei Wen, Yuxiong He, Samyam Rajbhandari, Minjia Zhang, Wenhan Wang, Fang Liu, Bin Hu, Yiran Chen, Hai Li

Comments Published in ICLR 2018 ( the Sixth International Conference on Learning Representations)

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1802.03198 2018-02-12 cs.CL

Natural Language Inference over Interaction Space: ICLR 2018 Reproducibility Report

Martin Mirakyan, Karen Hambardzumyan, Hrant Khachatrian

Comments as part of ICLR 2018 Reproducibility Challenge

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1802.03063 2018-02-12 cs.LG stat.ML

Learning Latent Representations in Neural Networks for Clustering through Pseudo Supervision and Graph-based Activity Regularization

Ozsel Kilinc, Ismail Uysal

Comments To appear in proceedings of the International Conference on Learning Representations 2018

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1802.02696 2018-02-09 cs.LG

Improving the Universality and Learnability of Neural Programmer-Interpreters with Combinator Abstraction

Da Xiao, Jo-Yu Liao, Xingyuan Yuan

Comments Published as a conference paper at ICLR 2018

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1711.00811 2018-02-09 cs.LG

Expressive power of recurrent neural networks

Valentin Khrulkov, Alexander Novikov, Ivan Oseledets

Comments Accepted as a conference paper at ICLR 2018

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1802.01817 2018-02-07 cs.CL

Byte-Level Recursive Convolutional Auto-Encoder for Text

Xiang Zhang, Yann LeCun

Comments Rejected from ICLR 2018

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1802.01765 2018-02-07 cs.LG stat.ML

Training Generative Adversarial Networks via Primal-Dual Subgradient Methods: A Lagrangian Perspective on GAN

Xu Chen, Jiang Wang, Hao Ge

Comments Accepted by Sixth International Conference on Learning Representations (ICLR 2018). Xu Chen and Jiang Wang contributed equally

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1710.09026 2018-02-07 cs.LG cs.CL eess.AS stat.ML

Trace norm regularization and faster inference for embedded speech recognition RNNs

Markus Kliegl, Siddharth Goyal, Kexin Zhao, Kavya Srinet, Mohammad Shoeybi

Comments Our optimized inference kernels are available at: https://github.com/PaddlePaddle/farm (Note: This paper was submitted to, but rejected from, ICLR 2018. We believe it may still be of value to others. Please see the discussion here: https://openreview.net/forum?id=B1tC-LT6W)

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1802.00124 2018-02-06 cs.LG

Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers

Jianbo Ye, Xin Lu, Zhe Lin, James Z. Wang

Comments accepted to ICLR 2018, 11 pages

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1711.07341 2018-02-06 cs.CL cs.AI

FusionNet: Fusing via Fully-Aware Attention with Application to Machine Comprehension

Hsin-Yuan Huang, Chenguang Zhu, Yelong Shen, Weizhu Chen

Comments Published in Sixth International Conference on Learning Representations (ICLR), 2018

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1710.10903 2018-02-06 stat.ML cs.AI cs.LG cs.SI

Graph Attention Networks

Petar Veličković, Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro Liò, Yoshua Bengio

Comments To appear at ICLR 2018. 12 pages, 2 figures

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1708.06834 2018-02-06 cs.AI cs.CV

Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks

Victor Campos, Brendan Jou, Xavier Giro-i-Nieto, Jordi Torres, Shih-Fu Chang

Comments Accepted as conference paper at ICLR 2018

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1710.10348 2018-02-05 stat.ML cs.CV

Multi-level Residual Networks from Dynamical Systems View

Bo Chang, Lili Meng, Eldad Haber, Frederick Tung, David Begert

Comments Published as a conference paper at ICLR 2018

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1710.07739 2018-02-05 cs.LG stat.ML

Learning Discrete Weights Using the Local Reparameterization Trick

Oran Shayer, Dan Levi, Ethan Fetaya

Comments ICLR 2018

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1802.00150 2018-02-02 cs.LG stat.ML

Alternating Multi-bit Quantization for Recurrent Neural Networks

Chen Xu, Jianqiang Yao, Zhouchen Lin, Wenwu Ou, Yuanbin Cao, Zhirong Wang, Hongbin Zha

Comments Published as a conference paper at ICLR 2018

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1709.01889 2018-02-02 cs.CV

Polar Transformer Networks

Carlos Esteves, Christine Allen-Blanchette, Xiaowei Zhou, Kostas Daniilidis

Comments Accepted as a conference paper at ICLR 2018

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1801.10578 2018-02-01 stat.ML cs.CR cs.LG

Evaluating the Robustness of Neural Networks: An Extreme Value Theory Approach

Tsui-Wei Weng, Huan Zhang, Pin-Yu Chen, Jinfeng Yi, Dong Su, Yupeng Gao, Cho-Jui Hsieh, Luca Daniel

Comments Accepted by Sixth International Conference on Learning Representations (ICLR 2018). Tsui-Wei Weng and Huan Zhang contributed equally

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1801.10247 2018-02-01 cs.LG

FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling

Jie Chen, Tengfei Ma, Cao Xiao

Comments ICLR 2018

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1801.10198 2018-02-01 cs.CL

Generating Wikipedia by Summarizing Long Sequences

Peter J. Liu, Mohammad Saleh, Etienne Pot, Ben Goodrich, Ryan Sepassi, Lukasz Kaiser, Noam Shazeer

Comments Published as a conference paper at ICLR 2018

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1711.00449 2018-02-01 cs.LG stat.ML

Attacking Binarized Neural Networks

Angus Galloway, Graham W. Taylor, Medhat Moussa

Comments Published as a conference paper at ICLR 2018

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1707.04046 2018-02-01 cs.LG cs.AI cs.CV

Stable Distribution Alignment Using the Dual of the Adversarial Distance

Ben Usman, Kate Saenko, Brian Kulis

Comments ICLR 2018 Conference Invite to Workshop

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1706.01905 2018-02-01 cs.LG cs.AI cs.NE cs.RO stat.ML

Parameter Space Noise for Exploration

Matthias Plappert, Rein Houthooft, Prafulla Dhariwal, Szymon Sidor, Richard Y. Chen, Xi Chen, Tamim Asfour, Pieter Abbeel, Marcin Andrychowicz

Comments Updated to camera-ready ICLR submission

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