Papers
Reversible Recurrent Neural Networks
Matthew MacKay, Paul Vicol, Jimmy Ba et al.
A Lyapunov-based Approach to Safe Reinforcement Learning
Yinlam Chow, Ofir Nachum, Edgar Duenez-Guzman et al.
Layer-Wise Coordination between Encoder and Decoder for Neural Machine Translation
Tianyu He, Xu Tan, Yingce Xia et al.
Approximate Knowledge Compilation by Online Collapsed Importance Sampling
Tal Friedman, Guy Van den Broeck
Beyond Grids: Learning Graph Representations for Visual Recognition
Yin Li, Abhinav Gupta
Learning Concave Conditional Likelihood Models for Improved Analysis of Tandem Mass Spectra
John T Halloran, David M Rocke
Unsupervised Attention-guided Image-to-Image Translation
Youssef Alami Mejjati, Christian Richardt, James Tompkin et al.
Unsupervised Learning of Shape and Pose with Differentiable Point Clouds
Eldar Insafutdinov, Alexey Dosovitskiy
The Physical Systems Behind Optimization Algorithms
Lin Yang, Raman Arora, Vladimir braverman et al.
Efficient High Dimensional Bayesian Optimization with Additivity and Quadrature Fourier Features
Mojmir Mutny, Andreas Krause
MetaGAN: An Adversarial Approach to Few-Shot Learning
Ruixiang ZHANG, Tong Che, Zoubin Ghahramani et al.
A Block Coordinate Ascent Algorithm for Mean-Variance Optimization
Tengyang Xie, Bo Liu, Yangyang Xu et al.
Gamma-Poisson Dynamic Matrix Factorization Embedded with Metadata Influence
Trong Dinh Thac Do, Longbing Cao
Meta-Reinforcement Learning of Structured Exploration Strategies
Abhishek Gupta, Russell Mendonca, YuXuan Liu et al.
Synaptic Strength For Convolutional Neural Network
CHEN LIN, Zhao Zhong, Wu Wei et al.
e-SNLI: Natural Language Inference with Natural Language Explanations
Oana-Maria Camburu, Tim Rocktäschel, Thomas Lukasiewicz et al.
Sparse DNNs with Improved Adversarial Robustness
Yiwen Guo, Chao Zhang, Changshui Zhang et al.
Measures of distortion for machine learning
Leena Chennuru Vankadara, Ulrike von Luxburg
Optimization of Smooth Functions with Noisy Observations: Local Minimax Rates
Yining Wang, Sivaraman Balakrishnan, Aarti Singh
Explaining Deep Learning Models -- A Bayesian Non-parametric Approach
Wenbo Guo, Sui Huang, Yunzhe Tao et al.
Temporal Regularization for Markov Decision Process
Pierre Thodoroff, Audrey Durand, Joelle Pineau et al.
Exponentially Weighted Imitation Learning for Batched Historical Data
Qing Wang, Jiechao Xiong, Lei Han et al.
Learning Conditioned Graph Structures for Interpretable Visual Question Answering
Will Norcliffe-Brown, Stathis Vafeias, Sarah Parisot
The Everlasting Database: Statistical Validity at a Fair Price
Blake E Woodworth, Vitaly Feldman, Saharon Rosset et al.
Exploiting Numerical Sparsity for Efficient Learning : Faster Eigenvector Computation and Regression
Neha Gupta, Aaron Sidford