ICLR

A Mean Field Theory of Batch Normalization

Greg Yang, Jeffrey Pennington, Vinay Rao, Jascha Sohl-Dickstein, Samuel S. Schoenholz

Comments To appear in ICLR 2019

How to train your MAML

Antreas Antoniou, Harrison Edwards, Amos Storkey

Comments Published in ICLR 2019

The Singular Values of Convolutional Layers

Hanie Sedghi, Vineet Gupta, Philip M. Long

Comments Published as a conference paper at ICLR 2019

RNNs Implicitly Implement Tensor Product Representations

R. Thomas McCoy, Tal Linzen, Ewan Dunbar, Paul Smolensky

Comments Accepted to ICLR 2019

Cost-Sensitive Robustness against Adversarial Examples

Xiao Zhang, David Evans

Comments ICLR final version

Rethinking the Value of Network Pruning

Zhuang Liu, Mingjie Sun, Tinghui Zhou, Gao Huang, Trevor Darrell

Comments ICLR 2019. Significant revisions from the previous version

Contingency-Aware Exploration in Reinforcement Learning

Jongwook Choi, Yijie Guo, Marcin Moczulski, Junhyuk Oh, Neal Wu, Mohammad Norouzi, Honglak Lee

Comments In ICLR 2019

The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks

Jonathan Frankle, Michael Carbin

Comments ICLR camera ready

Journal ref ICLR 2019

On Computation and Generalization of GANs with Spectrum Control

Haoming Jiang, Zhehui Chen, Minshuo Chen, Feng Liu, Dingding Wang, Tuo Zhao

Comments Seventh International Conference on Learning Representations, ICLR 2019

Stable Recurrent Models

John Miller, Moritz Hardt

Comments To appear in ICLR 2019. This paper was previously titled "When Recurrent Models Don't Need to Be Recurrent." The current version subsumes all previous versions

Learning to Organize Knowledge and Answer Questions with N-Gram Machines

Fan Yang, Jiazhong Nie, William W. Cohen, Ni Lao

Comments Presented at ICLR 2018 workshop https://iclr.cc/Conferences/2018/Schedule?showEvent=580

Probabilistic Recursive Reasoning for Multi-Agent Reinforcement Learning

Ying Wen, Yaodong Yang, Rui Luo, Jun Wang, Wei Pan

Comments ICLR 2019

Discovery of Natural Language Concepts in Individual Units of CNNs

Seil Na, Yo Joong Choe, Dong-Hyun Lee, Gunhee Kim

Comments Published as a conference paper at ICLR 2019

Slalom: Fast, Verifiable and Private Execution of Neural Networks in Trusted Hardware

Florian Tramèr, Dan Boneh

Comments Accepted as an oral presentation at ICLR 2019. OpenReview available at https://openreview.net/forum?id=rJVorjCcKQ

Equi-normalization of Neural Networks

Pierre Stock, Benjamin Graham, Rémi Gribonval, Hervé Jégou

Comments ICLR 2019 camera-ready

Representing Formal Languages: A Comparison Between Finite Automata and Recurrent Neural Networks

Joshua J. Michalenko, Ameesh Shah, Abhinav Verma, Richard G. Baraniuk, Swarat Chaudhuri, Ankit B. Patel

Comments 15 Pages, 13 Figures, Accepted to ICLR 2019

RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space

Zhiqing Sun, Zhi-Hong Deng, Jian-Yun Nie, Jian Tang

Comments Accepted to ICLR 2019

Optimal Control Via Neural Networks: A Convex Approach

Yize Chen, Yuanyuan Shi, Baosen Zhang

Comments Published as a conference paper at ICLR 2019: https://openreview.net/forum?id=H1MW72AcK7

AntisymmetricRNN: A Dynamical System View on Recurrent Neural Networks

Bo Chang, Minmin Chen, Eldad Haber, Ed H. Chi

Comments Published as a conference paper at ICLR 2019

Stochastic Prediction of Multi-Agent Interactions from Partial Observations

Chen Sun, Per Karlsson, Jiajun Wu, Joshua B Tenenbaum, Kevin Murphy

Comments ICLR 2019 camera ready

Verification of Non-Linear Specifications for Neural Networks

Chongli Qin, Krishnamurthy, Dvijotham, Brendan O'Donoghue, Rudy Bunel, Robert Stanforth, Sven Gowal, Jonathan Uesato, Grzegorz Swirszcz, Pushmeet Kohli

Comments ICLR conference paper

Janossy Pooling: Learning Deep Permutation-Invariant Functions for Variable-Size Inputs

Ryan L. Murphy, Balasubramaniam Srinivasan, Vinayak Rao, Bruno Ribeiro

Comments This version clarifies and adds detail to some of the arguments

Journal ref ICLR 2019

Discriminator Rejection Sampling

Samaneh Azadi, Catherine Olsson, Trevor Darrell, Ian Goodfellow, Augustus Odena

Comments Published as a conference paper at ICLR 2019

Explaining Image Classifiers by Counterfactual Generation

Chun-Hao Chang, Elliot Creager, Anna Goldenberg, David Duvenaud

Comments ICLR 2019 Camera Ready

The Unusual Effectiveness of Averaging in GAN Training

Yasin Yazıcı, Chuan-Sheng Foo, Stefan Winkler, Kim-Hui Yap, Georgios Piliouras, Vijay Chandrasekhar

Comments Published as a conference paper at ICLR 2019

Whitening and Coloring batch transform for GANs

Aliaksandr Siarohin, Enver Sangineto, Nicu Sebe

Comments ICLR 2019

DialogWAE: Multimodal Response Generation with Conditional Wasserstein Auto-Encoder

Xiaodong Gu, Kyunghyun Cho, Jung-Woo Ha, Sunghun Kim

Comments Published as a conference paper at ICLR 2019

Efficient Multi-objective Neural Architecture Search via Lamarckian Evolution

Thomas Elsken, Jan Hendrik Metzen, Frank Hutter

Comments Published as a conference paper at ICLR, International Conference on Learning Representations, 2019

Harmonizing Maximum Likelihood with GANs for Multimodal Conditional Generation

Soochan Lee, Junsoo Ha, Gunhee Kim

Comments Accepted as a conference paper at ICLR 2019

Transfer Learning for Sequences via Learning to Collocate

Wanyun Cui, Guangyu Zheng, Zhiqiang Shen, Sihang Jiang, Wei Wang

Comments Published at ICLR 2019