Papers
Universal Agent for Disentangling Environments and Tasks
Jiayuan Mao, Honghua Dong, Joseph J. Lim
Large scale distributed neural network training through online distillation
Rohan Anil, Gabriel Pereyra, Alexandre Passos et al.
Intrinsic Motivation and Automatic Curricula via Asymmetric Self-Play
Sainbayar Sukhbaatar, Zeming Lin, Ilya Kostrikov et al.
Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers
Jianbo Ye, Xin Lu, Zhe Lin et al.
Adaptive Quantization of Neural Networks
Soroosh Khoram, Jing Li
Semantically Decomposing the Latent Spaces of Generative Adversarial Networks
Chris Donahue, Zachary C. Lipton, Akshay Balsubramani et al.
Interpretable Counting for Visual Question Answering
Alexander Trott, Caiming Xiong, Richard Socher
Viterbi-based Pruning for Sparse Matrix with Fixed and High Index Compression Ratio
Dongsoo Lee, Daehyun Ahn, Taesu Kim et al.
Compressing Word Embeddings via Deep Compositional Code Learning
Raphael Shu, Hideki Nakayama
Deep Complex Networks
Chiheb Trabelsi, Olexa Bilaniuk, Ying Zhang et al.
Combining Symbolic Expressions and Black-box Function Evaluations in Neural Programs
Forough Arabshahi, Sameer Singh, Animashree Anandkumar
On the importance of single directions for generalization
Ari S. Morcos, David G.T. Barrett, Neil C. Rabinowitz et al.
An efficient framework for learning sentence representations
Lajanugen Logeswaran, Honglak Lee
Stochastic Variational Video Prediction
Mohammad Babaeizadeh, Chelsea Finn, Dumitru Erhan et al.
Deep contextualized word representations
Matthew E Peters, Mark Neumann, Mohit Iyyer et al.
Meta-Learning for Semi-Supervised Few-Shot Classification
Mengye Ren, Eleni Triantafillou, Sachin Ravi et al.
Learning Sparse Latent Representations with the Deep Copula Information Bottleneck
Aleksander Wieczorek*, Mario Wieser*, Damian Murezzan et al.
Stochastic Activation Pruning for Robust Adversarial Defense
Guneet S. Dhillon, Kamyar Azizzadenesheli, Zachary C. Lipton et al.
Trust-PCL: An Off-Policy Trust Region Method for Continuous Control
Ofir Nachum, Mohammad Norouzi, Kelvin Xu et al.
PixelNN: Example-based Image Synthesis
Aayush Bansal, Yaser Sheikh, Deva Ramanan
Minimal-Entropy Correlation Alignment for Unsupervised Deep Domain Adaptation
Pietro Morerio, Jacopo Cavazza, Vittorio Murino
Smooth Loss Functions for Deep Top-k Classification
Leonard Berrada, Andrew Zisserman, M. Pawan Kumar
Learning to Count Objects in Natural Images for Visual Question Answering
Yan Zhang, Jonathon Hare, Adam Prügel-Bennett
Syntax-Directed Variational Autoencoder for Structured Data
Hanjun Dai, Yingtao Tian, Bo Dai et al.
Spherical CNNs
Taco S. Cohen, Mario Geiger, Jonas Köhler et al.