Papers
Visual Interaction Networks: Learning a Physics Simulator from Video
Nicholas Watters, Daniel Zoran, Theophane Weber et al.
Visual Reference Resolution using Attention Memory for Visual Dialog
Paul Hongsuck Seo, Andreas Lehrmann, Bohyung Han et al.
Wasserstein Learning of Deep Generative Point Process Models
Shuai Xiao, Mehrdad Farajtabar, Xiaojing Ye et al.
Welfare Guarantees from Data
Darrell Hoy, Denis Nekipelov, Vasilis Syrgkanis
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?
Alex Kendall, Yarin Gal
When Cyclic Coordinate Descent Outperforms Randomized Coordinate Descent
Mert Gurbuzbalaban, Asuman Ozdaglar, Pablo A Parrilo et al.
When Worlds Collide: Integrating Different Counterfactual Assumptions in Fairness
Chris Russell, Matt J Kusner, Joshua Loftus et al.
Wider and Deeper, Cheaper and Faster: Tensorized LSTMs for Sequence Learning
Zhen He, Shaobing Gao, Liang Xiao et al.
Working hard to know your neighbor's margins: Local descriptor learning loss
Anastasiia Mishchuk, Dmytro Mishkin, Filip Radenovic et al.
YASS: Yet Another Spike Sorter
Jin Hyung Lee, David E Carlson, Hooshmand Shokri Razaghi et al.
Zap Q-Learning
Adithya M Devraj, Sean Meyn
Z-Forcing: Training Stochastic Recurrent Networks
Anirudh Goyal ALIAS PARTH GOYAL, Alessandro Sordoni, Marc-Alexandre Côté et al.
A Bandit Framework for Strategic Regression
Yang Liu, Yiling Chen
A Bayesian method for reducing bias in neural representational similarity analysis
Mingbo Cai, Nicolas W Schuck, Jonathan W Pillow et al.
A Bio-inspired Redundant Sensing Architecture
Anh Tuan Nguyen, Jian Xu, Zhi Yang
Accelerating Stochastic Composition Optimization
Mengdi Wang, Ji Liu, Ethan Fang
Achieving budget-optimality with adaptive schemes in crowdsourcing
Ashish Khetan, Sewoong Oh
Achieving the KS threshold in the general stochastic block model with linearized acyclic belief propagation
Emmanuel Abbe, Colin Sandon
A Communication-Efficient Parallel Algorithm for Decision Tree
Qi Meng, Guolin Ke, Taifeng Wang et al.
A Comprehensive Linear Speedup Analysis for Asynchronous Stochastic Parallel Optimization from Zeroth-Order to First-Order
Xiangru Lian, Huan Zhang, Cho-Jui Hsieh et al.
A Consistent Regularization Approach for Structured Prediction
Carlo Ciliberto, Lorenzo Rosasco, Alessandro Rudi
A Credit Assignment Compiler for Joint Prediction
Kai-Wei Chang, He He, Stephane Ross et al.
Active Learning from Imperfect Labelers
Songbai Yan, Kamalika Chaudhuri, Tara Javidi
Active Learning with Oracle Epiphany
Tzu-Kuo Huang, Lihong Li, Ara Vartanian et al.