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ICLR (Workshop)
2013
2018
2013
2018
Keyphrases
Publications
2018
Remi Tachet des Combes
,
Philip Bachman
,
Harm van Seijen
Learning Invariances for Policy Generalization.
ICLR (Workshop)
(2018)
Bowen Baker
,
Otkrist Gupta
,
Ramesh Raskar
,
Nikhil Naik
Accelerating Neural Architecture Search using Performance Prediction.
ICLR (Workshop)
(2018)
Oliver Hennigh
Automated Design using Neural Networks and Gradient Descent.
ICLR (Workshop)
(2018)
David Madras
,
Toniann Pitassi
,
Richard S. Zemel
Predict Responsibly: Increasing Fairness by Learning to Defer.
ICLR (Workshop)
(2018)
Soorya Gopalakrishnan
,
Zhinus Marzi
,
Upamanyu Madhow
,
Ramtin Pedarsani
Combating Adversarial Attacks Using Sparse Representations.
ICLR (Workshop)
(2018)
Andrei Atanov
,
Arsenii Ashukha
,
Dmitry Molchanov
,
Kirill Neklyudov
,
Dmitry P. Vetrov
Uncertainty Estimation via Stochastic Batch Normalization.
ICLR (Workshop)
(2018)
Asha Anoosheh
,
Eirikur Agustsson
,
Radu Timofte
ComboGAN: Unrestricted Scalability for Image Domain Translation.
ICLR (Workshop)
(2018)
Yedid Hoshen
,
Lior Wolf
NAM - Unsupervised Cross-Domain Image Mapping without Cycles or GANs.
ICLR (Workshop)
(2018)
6th International Conference on Learning Representations, ICLR 2018, Vancouver, BC, Canada, April 30 - May 3, 2018, Workshop Track Proceedings
ICLR (Workshop)
(2018)
Samira Ebrahimi Kahou
,
Vincent Michalski
,
Adam Atkinson
,
Ákos Kádár
,
Adam Trischler
,
Yoshua Bengio
FigureQA: An Annotated Figure Dataset for Visual Reasoning.
ICLR (Workshop)
(2018)
Fan Yang
,
Jiazhong Nie
,
William W. Cohen
,
Ni Lao
Learning to Organize Knowledge with N-Gram Machines.
ICLR (Workshop)
(2018)
Han Zhao
,
Shanghang Zhang
,
Guanhang Wu
,
João Paulo Costeira
,
José M. F. Moura
,
Geoffrey J. Gordon
Multiple Source Domain Adaptation with Adversarial Learning.
ICLR (Workshop)
(2018)
Rinu Boney
,
Alexander Ilin
Semi-Supervised Few-Shot Learning with MAML.
ICLR (Workshop)
(2018)
Mateo Rojas-Carulla
,
Marco Baroni
,
David Lopez-Paz
Causal Discovery Using Proxy Variables.
ICLR (Workshop)
(2018)
Yoshihiro Yamada
,
Masakazu Iwamura
,
Koichi Kise
ShakeDrop regularization.
ICLR (Workshop)
(2018)
Roland Fernandez
,
Asli Celikyilmaz
,
Paul Smolensky
,
Rishabh Singh
Learning and Analyzing Vector Encoding of Symbolic Representation.
ICLR (Workshop)
(2018)
KiJung Yoon
,
Renjie Liao
,
Yuwen Xiong
,
Lisa Zhang
,
Ethan Fetaya
,
Raquel Urtasun
,
Richard S. Zemel
,
Xaq Pitkow
Inference in probabilistic graphical models by Graph Neural Networks.
ICLR (Workshop)
(2018)
Raghav Goyal
,
Farzaneh Mahdisoltani
,
Guillaume Berger
,
Waseem Gharbieh
,
Ingo Bax
,
Roland Memisevic
Evaluating visual "common sense" using fine-grained classification and captioning tasks.
ICLR (Workshop)
(2018)
Quynh Nguyen
,
Matthias Hein
The loss surface and expressivity of deep convolutional neural networks.
ICLR (Workshop)
(2018)
Hiroaki Shioya
,
Yusuke Iwasawa
,
Yutaka Matsuo
Extending Robust Adversarial Reinforcement Learning Considering Adaptation and Diversity.
ICLR (Workshop)
(2018)
Joshua Romoff
,
Alexandre Piché
,
Peter Henderson
,
Vincent François-Lavet
,
Joelle Pineau
Reward Estimation for Variance Reduction in Deep Reinforcement Learning.
ICLR (Workshop)
(2018)
Mika Sarkin Jain
,
Jack Lindsey
Semiparametric Reinforcement Learning.
ICLR (Workshop)
(2018)
Yuhui Yuan
,
Kuiyuan Yang
,
Jianyuan Guo
,
Chao Zhang
,
Jingdong Wang
Feature Incay for Representation Regularization.
ICLR (Workshop)
(2018)
Rachit Dubey
,
Pulkit Agrawal
,
Deepak Pathak
,
Alyosha A. Efros
,
Thomas L. Griffiths
Investigating Human Priors for Playing Video Games.
ICLR (Workshop)
(2018)
Beidi Chen
,
Yingchen Xu
,
Anshumali Shrivastava
Lsh-Sampling breaks the Computational chicken-and-egg Loop in adaptive stochastic Gradient estimation.
ICLR (Workshop)
(2018)
Shaojie Bai
,
J. Zico Kolter
,
Vladlen Koltun
Convolutional Sequence Modeling Revisited.
ICLR (Workshop)
(2018)
Attila Szabó
,
Qiyang Hu
,
Tiziano Portenier
,
Matthias Zwicker
,
Paolo Favaro
Challenges in Disentangling Independent Factors of Variation.
ICLR (Workshop)
(2018)
Ivan Lobov
SpectralWords: Spectral Embeddings Approach to Word Similarity Task for Large Vocabularies.
ICLR (Workshop)
(2018)
Keyi Yu
,
Yang Liu
,
Alexander G. Schwing
,
Jian Peng
Fast and Accurate Text Classification: Skimming, Rereading and Early Stopping.
ICLR (Workshop)
(2018)
Risi Kondor
,
Hy Truong Son
,
Horace Pan
,
Brandon M. Anderson
,
Shubhendu Trivedi
Covariant Compositional Networks For Learning Graphs.
ICLR (Workshop)
(2018)
Damien Scieur
,
Edouard Oyallon
,
Alexandre d'Aspremont
,
Francis R. Bach
Nonlinear Acceleration of CNNs.
ICLR (Workshop)
(2018)
Xinyun Chen
,
Chang Liu
,
Dawn Song
Tree-to-tree Neural Networks for Program Translation.
ICLR (Workshop)
(2018)
Zhendong Zhang
,
Cheolkon Jung
Regularization Neural Networks via Constrained Virtual Movement Field.
ICLR (Workshop)
(2018)
Yusuke Tsuzuku
,
Hiroto Imachi
,
Takuya Akiba
Variance-based Gradient Compression for Efficient Distributed Deep Learning.
ICLR (Workshop)
(2018)
Dzmitry Bahdanau
,
Felix Hill
,
Jan Leike
,
Edward Hughes
,
Pushmeet Kohli
,
Edward Grefenstette
Jointly Learning "What" and "How" from Instructions and Goal-States.
ICLR (Workshop)
(2018)
Simon Brodeur
,
Ethan Perez
,
Ankesh Anand
,
Florian Golemo
,
Luca Celotti
,
Florian Strub
,
Jean Rouat
,
Hugo Larochelle
,
Aaron C. Courville
HoME: a Household Multimodal Environment.
ICLR (Workshop)
(2018)
Mehdi S. M. Sajjadi
,
Giambattista Parascandolo
,
Arash Mehrjou
,
Bernhard Schölkopf
Tempered Adversarial Networks.
ICLR (Workshop)
(2018)
Yusuke Iwasawa
,
Kotaro Nakayama
,
Yutaka Matsuo
Censoring Representations with Multiple-Adversaries over Random Subspaces.
ICLR (Workshop)
(2018)
Guillaume Alain
,
Nicolas Le Roux
,
Pierre-Antoine Manzagol
Negative eigenvalues of the Hessian in deep neural networks.
ICLR (Workshop)
(2018)
Phiala Shanahan
,
Daniel Trewartha
,
William Detmold
Neural network parameter regression for lattice quantum chromodynamics simulations in nuclear and particle physics.
ICLR (Workshop)
(2018)
Mehran Pesteie
,
Purang Abolmaesumi
,
Robert Rohling
Deep Neural Maps.
ICLR (Workshop)
(2018)
Peter H. Jin
,
Boris Ginsburg
,
Kurt Keutzer
Spatially Parallel Convolutions.
ICLR (Workshop)
(2018)
Zheng Xu
,
Yen-Chang Hsu
,
Jiawei Huang
Training Shallow and Thin Networks for Acceleration via Knowledge Distillation with Conditional Adversarial Networks.
ICLR (Workshop)
(2018)
Thomas Elsken
,
Jan Hendrik Metzen
,
Frank Hutter
Simple and efficient architecture search for Convolutional Neural Networks.
ICLR (Workshop)
(2018)
Daniel Neil
,
Marwin H. S. Segler
,
Laura Guasch
,
Mohamed Ahmed
,
Dean Plumbley
,
Matthew Sellwood
,
Nathan Brown
Exploring Deep Recurrent Models with Reinforcement Learning for Molecule Design.
ICLR (Workshop)
(2018)
Paul K. Rubenstein
,
Bernhard Schölkopf
,
Ilya O. Tolstikhin
Wasserstein Auto-Encoders: Latent Dimensionality and Random Encoders.
ICLR (Workshop)
(2018)
Martin Simonovsky
,
Nikos Komodakis
Towards Variational Generation of Small Graphs.
ICLR (Workshop)
(2018)
Chenwei Wu
,
Jiajun Luo
,
Jason D. Lee
No Spurious Local Minima in a Two Hidden Unit ReLU Network.
ICLR (Workshop)
(2018)
Zhe Li
,
Shuo Wang
,
Caiwen Ding
,
Qinru Qiu
,
Yanzhi Wang
,
Yun Liang
Efficient Recurrent Neural Networks using Structured Matrices in FPGAs.
ICLR (Workshop)
(2018)
Charles B. Delahunt
,
J. Nathan Kutz
A moth brain learns to read MNIST.
ICLR (Workshop)
(2018)