ICLR

Combining Symbolic Expressions and Black-box Function Evaluations in Neural Programs

Forough Arabshahi, Sameer Singh, Animashree Anandkumar

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

Divide-and-Conquer Reinforcement Learning

Dibya Ghosh, Avi Singh, Aravind Rajeswaran, Vikash Kumar, Sergey Levine

Comments Presented at ICLR 2018. Videos and supporting materials are located at http://bit.ly/dnc-rl

The power of deeper networks for expressing natural functions

David Rolnick, Max Tegmark

Comments Replaced to match version published at ICLR 2018. 14 pages, 2 figs

Gradient Estimators for Implicit Models

Yingzhen Li, Richard E. Turner

Comments v5 fixed a typo in Figure 3 of v4 (the version at ICLR 2018 main conference)

QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension

Adams Wei Yu, David Dohan, Minh-Thang Luong, Rui Zhao, Kai Chen, Mohammad Norouzi, Quoc V. Le

Comments Published as full paper in ICLR 2018

Measuring the Intrinsic Dimension of Objective Landscapes

Chunyuan Li, Heerad Farkhoor, Rosanne Liu, Jason Yosinski

Comments Published in ICLR 2018

Compositional Attention Networks for Machine Reasoning

Drew A. Hudson, Christopher D. Manning

Comments Published as a conference paper at ICLR 2018

Zero-Shot Visual Imitation

Deepak Pathak, Parsa Mahmoudieh, Guanghao Luo, Pulkit Agrawal, Dian Chen, Yide Shentu, Evan Shelhamer, Jitendra Malik, Alexei A. Efros, Trevor Darrell

Comments Oral presentation at ICLR 2018. Website at https://pathak22.github.io/zeroshot-imitation/

Learning Deep Mean Field Games for Modeling Large Population Behavior

Jiachen Yang, Xiaojing Ye, Rakshit Trivedi, Huan Xu, Hongyuan Zha

Comments Accepted to International Conference on Learning Representations (2018)

Learning Sparse Latent Representations with the Deep Copula Information Bottleneck

Aleksander Wieczorek, Mario Wieser, Damian Murezzan, Volker Roth

Comments Published as a conference paper at ICLR 2018. Aleksander Wieczorek and Mario Wieser contributed equally to this work

Journal ref Conference track - ICLR 2018

Learning Awareness Models

Brandon Amos, Laurent Dinh, Serkan Cabi, Thomas Rothörl, Sergio Gómez Colmenarejo, Alistair Muldal, Tom Erez, Yuval Tassa, Nando de Freitas, Misha Denil

Comments Accepted to ICLR 2018

Synthesizing realistic neural population activity patterns using Generative Adversarial Networks

Manuel Molano-Mazon, Arno Onken, Eugenio Piasini, Stefano Panzeri

Comments Published as a conference paper at ICLR 2018 V2: minor changes in supp. material

Deep Learning as a Mixed Convex-Combinatorial Optimization Problem

Abram L. Friesen, Pedro Domingos

Comments 14 pages (9 body, 5 pages of references and appendices)

Journal ref In Proceedings of the International Conference on Learning Representations (ICLR) 2018

Training Shallow and Thin Networks for Acceleration via Knowledge Distillation with Conditional Adversarial Networks

Zheng Xu, Yen-Chang Hsu, Jiawei Huang

Comments Shorter version will appear at ICLR workshop 2018

Emergent Communication in a Multi-Modal, Multi-Step Referential Game

Katrina Evtimova, Andrew Drozdov, Douwe Kiela, Kyunghyun Cho

Comments Published as a conference paper at ICLR 2018. 12 pages

Unsupervised Machine Translation Using Monolingual Corpora Only

Guillaume Lample, Alexis Conneau, Ludovic Denoyer, Marc'Aurelio Ranzato

Comments ICLR 2018

DORA The Explorer: Directed Outreaching Reinforcement Action-Selection

Leshem Choshen, Lior Fox, Yonatan Loewenstein

Comments Final version for ICLR 2018

Emergence of Linguistic Communication from Referential Games with Symbolic and Pixel Input

Angeliki Lazaridou, Karl Moritz Hermann, Karl Tuyls, Stephen Clark

Comments To appear at ICLR 2018

Emergent Communication through Negotiation

Kris Cao, Angeliki Lazaridou, Marc Lanctot, Joel Z Leibo, Karl Tuyls, Stephen Clark

Comments Published as a conference paper at ICLR 2018

Emergent Translation in Multi-Agent Communication

Jason Lee, Kyunghyun Cho, Jason Weston, Douwe Kiela

Comments Accepted to ICLR 2018

Monotonic models for real-time dynamic malware detection

Alexander Chistyakov, Ekaterina Lobacheva, Alexander Shevelev, Alexey Romanenko

Comments Published at Workshop track of ICLR 2018

Semantic embeddings for program behavior patterns

Alexander Chistyakov, Ekaterina Lobacheva, Arseny Kuznetsov, Alexey Romanenko

Comments Published at Workshop track of ICLR 2017

On the Limitation of Local Intrinsic Dimensionality for Characterizing the Subspaces of Adversarial Examples

Pei-Hsuan Lu, Pin-Yu Chen, Chia-Mu Yu

Comments Accepted to ICLR 2018 Worshop

The exploding gradient problem demystified - definition, prevalence, impact, origin, tradeoffs, and solutions

George Philipp, Dawn Song, Jaime G. Carbonell

Comments An earlier version of this paper was named "Gradients explode - Deep Networks are shallow - ResNet explained" and presented at the ICLR 2018 workshop (https://openreview.net/forum?id=rJjcdFkPM)

Compositional Obverter Communication Learning From Raw Visual Input

Edward Choi, Angeliki Lazaridou, Nando de Freitas

Comments Published as a conference paper at ICLR 2018

Bi-Directional Block Self-Attention for Fast and Memory-Efficient Sequence Modeling

Tao Shen, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang

Comments 18 pages, 7 figures; Accepted in ICLR-18

Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning

Sandeep Subramanian, Adam Trischler, Yoshua Bengio, Christopher J Pal

Comments Accepted at ICLR 2018

Flipout: Efficient Pseudo-Independent Weight Perturbations on Mini-Batches

Yeming Wen, Paul Vicol, Jimmy Ba, Dustin Tran, Roger Grosse

Comments Published as a conference paper at ICLR 2018

Neural Speed Reading via Skim-RNN

Minjoon Seo, Sewon Min, Ali Farhadi, Hannaneh Hajishirzi

Comments ICLR 2018

Meta-Learning a Dynamical Language Model

Thomas Wolf, Julien Chaumond, Clement Delangue

Comments 5 pages, 2 figures, accepted at ICLR 2018 workshop track