ICLR

A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks

Dan Hendrycks, Kevin Gimpel

Comments Published as a conference paper at ICLR 2017. 1 Figure in 1 Appendix. Minor changes from the previous version

Journal ref International Conference on Learning Representations 2017

Minimal Random Code Learning: Getting Bits Back from Compressed Model Parameters

Marton Havasi, Robert Peharz, José Miguel Hernández-Lobato

Comments Under review as a conference paper at ICLR 2019

Learning and Planning with a Semantic Model

Yi Wu, Yuxin Wu, Aviv Tamar, Stuart Russell, Georgia Gkioxari, Yuandong Tian

Comments submitted to ICLR 2019

A theoretical framework for deep locally connected ReLU network

Yuandong Tian

Comments Submitted to ICLR 2019

Joint Stochastic Approximation learning of Helmholtz Machines

Haotian Xu, Zhijian Ou

Comments Fixing typos. Published at ICLR-2016 Workshop Track

Adaptive Pruning of Neural Language Models for Mobile Devices

Raphael Tang, Jimmy Lin

Comments 10 pages, 3 figures, 2 tables, submitted to ICLR 2019

Towards Neural Phrase-based Machine Translation

Po-Sen Huang, Chong Wang, Sitao Huang, Dengyong Zhou, Li Deng

Comments in International Conference on Learning Representations (ICLR) 2018

Self-ensembling for visual domain adaptation

Geoffrey French, Michal Mackiewicz, Mark Fisher

Comments 20 pages, 3 figure, accepted as a poster at ICLR 2018

Predicting Floor-Level for 911 Calls with Neural Networks and Smartphone Sensor Data

William Falcon, Henning Schulzrinne

Comments International Conference on Learning Representations (ICLR 2018)

Neural-Guided Deductive Search for Real-Time Program Synthesis from Examples

Ashwin Kalyan, Abhishek Mohta, Oleksandr Polozov, Dhruv Batra, Prateek Jain, Sumit Gulwani

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

Three Factors Influencing Minima in SGD

Stanisław Jastrzębski, Zachary Kenton, Devansh Arpit, Nicolas Ballas, Asja Fischer, Yoshua Bengio, Amos Storkey

Comments First two authors contributed equally. Short version accepted into ICLR workshop. Accepted to Artificial Neural Networks and Machine Learning, ICANN 2018

Online Learning Rate Adaptation with Hypergradient Descent

Atilim Gunes Baydin, Robert Cornish, David Martinez Rubio, Mark Schmidt, Frank Wood

Comments 11 pages, 4 figures

Journal ref In Sixth International Conference on Learning Representations (ICLR), Vancouver, Canada, April 30 -- May 3, 2018. https://openreview.net/forum?id=BkrsAzWAb

Gaussian Process Behaviour in Wide Deep Neural Networks

Alexander G. de G. Matthews, Mark Rowland, Jiri Hron, Richard E. Turner, Zoubin Ghahramani

Comments This work substantially extends the work of Matthews et al. (2018) published at the International Conference on Learning Representations (ICLR) 2018

cGANs with Projection Discriminator

Takeru Miyato, Masanori Koyama

Comments Published as a conference paper at ICLR 2018

Interactive Grounded Language Acquisition and Generalization in a 2D World

Haonan Yu, Haichao Zhang, Wei Xu

Comments ICLR 2018 (Figure 6 caption improved)

Deep Rewiring: Training very sparse deep networks

Guillaume Bellec, David Kappel, Wolfgang Maass, Robert Legenstein

Comments Accepted for publication at ICLR 2018. 10 pages (12 with references, 24 with appendix), 4 Figures in the main text. Reviews are available at: https://openreview.net/forum?id=BJ_wN01C- . This recent version contains minor corrections in the appendix

On the insufficiency of existing momentum schemes for Stochastic Optimization

Rahul Kidambi, Praneeth Netrapalli, Prateek Jain, Sham M. Kakade

Comments 28 pages, 10 figures. Updated acknowledgements. Appeared as an oral presentation at International Conference on Learning Representations (ICLR), 2018. Code implementing the ASGD method can be found at https://github.com/rahulkidambi/AccSGD

Attacking the Madry Defense Model with $L_1$-based Adversarial Examples

Yash Sharma, Pin-Yu Chen

Comments Accepted to ICLR 2018 Workshops

Towards Explainable and Controllable Open Domain Dialogue Generation with Dialogue Acts

Can Xu, Wei Wu, Yu Wu

Comments The paper is also available on OpenReview of ICLR 2018 (https://openreview.net/forum?id=Bym0cU1CZ)

Identity Matters in Deep Learning

Moritz Hardt, Tengyu Ma

Comments ICLR 2017; fixed minor typos in the previous version

Are Efficient Deep Representations Learnable?

Maxwell Nye, Andrew Saxe

Comments Presented at ICLR 2018 Workshop

Combating Adversarial Attacks Using Sparse Representations

Soorya Gopalakrishnan, Zhinus Marzi, Upamanyu Madhow, Ramtin Pedarsani

Comments Accepted at ICLR Workshop 2018

On Unifying Deep Generative Models

Zhiting Hu, Zichao Yang, Ruslan Salakhutdinov, Eric P. Xing

Comments Polished and extended content over the ICLR conference version: https://openreview.net/pdf?id=rylSzl-R-

i-RevNet: Deep Invertible Networks

Jörn-Henrik Jacobsen, Arnold Smeulders, Edouard Oyallon

Journal ref ICLR 2018 - International Conference on Learning Representations, Apr 2018, Vancouver, Canada. 2018, https://iclr.cc/

Learning Sparse Neural Networks through $L_0$ Regularization

Christos Louizos, Max Welling, Diederik P. Kingma

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

Bidirectional Attention Flow for Machine Comprehension

Minjoon Seo, Aniruddha Kembhavi, Ali Farhadi, Hannaneh Hajishirzi

Comments Published as a conference paper at ICLR 2017

Sensitivity and Generalization in Neural Networks: an Empirical Study

Roman Novak, Yasaman Bahri, Daniel A. Abolafia, Jeffrey Pennington, Jascha Sohl-Dickstein

Comments Published as a conference paper at ICLR 2018

The Kanerva Machine: A Generative Distributed Memory

Yan Wu, Greg Wayne, Alex Graves, Timothy Lillicrap

Comments Published as a conference paper at ICLR 2018 (corrected typos in revision)

Variational Message Passing with Structured Inference Networks

Wu Lin, Nicolas Hubacher, Mohammad Emtiyaz Khan

Comments Added a missing term in the gradient of the lower bound

Journal ref ICLR 2018

An image representation based convolutional network for DNA classification

Bojian Yin, Marleen Balvert, Davide Zambrano, Alexander Schönhuth, Sander Bohte

Comments Published at ICLR 2018, https://openreview.net/pdf?id=HJvvRoe0W