Papers
Kernel Methods Through the Roof: Handling Billions of Points Efficiently
Giacomo Meanti, Luigi Carratino, Lorenzo Rosasco et al.
Lifelong Policy Gradient Learning of Factored Policies for Faster Training Without Forgetting
Jorge Mendez, Boyu Wang, Eric Eaton
Organizing recurrent network dynamics by task-computation to enable continual learning
Lea Duncker, Laura Driscoll, Krishna V. Shenoy et al.
Meta-Consolidation for Continual Learning
Joseph K J, Vineeth N Balasubramanian
Adversarial Attacks on Linear Contextual Bandits
Evrard Garcelon, Baptiste Roziere, Laurent Meunier et al.
Point process models for sequence detection in high-dimensional neural spike trains
Alex Williams, Anthony Degleris, Yixin Wang et al.
Knowledge Augmented Deep Neural Networks for Joint Facial Expression and Action Unit Recognition
Zijun Cui, Tengfei Song, Yuru Wang et al.
Human Parsing Based Texture Transfer from Single Image to 3D Human via Cross-View Consistency
Fang Zhao, Shengcai Liao, Kaihao Zhang et al.
Prediction with Corrupted Expert Advice
Idan Amir, Idan Attias, Tomer Koren et al.
Optimistic Dual Extrapolation for Coherent Non-monotone Variational Inequalities
Chaobing Song, Zhengyuan Zhou, Yichao Zhou et al.
Deep Inverse Q-learning with Constraints
Gabriel Kalweit, Maria Huegle, Moritz Werling et al.
GOCor: Bringing Globally Optimized Correspondence Volumes into Your Neural Network
Prune Truong, Martin Danelljan, Luc V. Gool et al.
Transfer Learning via ℓ_1 Regularization
Masaaki Takada, Hironori Fujisawa
DISK: Learning local features with policy gradient
Michał Tyszkiewicz, Pascal Fua, Eduard Trulls
Rational neural networks
Nicolas Boulle, Yuji Nakatsukasa, Alex Townsend
Learning Utilities and Equilibria in Non-Truthful Auctions
Hu Fu, Tao Lin
An Equivalence between Loss Functions and Non-Uniform Sampling in Experience Replay
Scott Fujimoto, David Meger, Doina Precup
GradAug: A New Regularization Method for Deep Neural Networks
Taojiannan Yang, Sijie Zhu, Chen Chen
3D Shape Reconstruction from Vision and Touch
Edward Smith, Roberto Calandra, Adriana Romero et al.
Mutual exclusivity as a challenge for deep neural networks
Kanishk Gandhi, Brenden M Lake
Practical Low-Rank Communication Compression in Decentralized Deep Learning
Thijs Vogels, Sai Praneeth Karimireddy, Martin Jaggi
Efficient Model-Based Reinforcement Learning through Optimistic Policy Search and Planning
Sebastian Curi, Felix Berkenkamp, Andreas Krause
Building powerful and equivariant graph neural networks with structural message-passing
Clément Vignac, Andreas Loukas, Pascal Frossard
MOPO: Model-based Offline Policy Optimization
Tianhe Yu, Garrett Thomas, Lantao Yu et al.
Calibration of Shared Equilibria in General Sum Partially Observable Markov Games
Nelson Vadori, Sumitra Ganesh, Prashant Reddy et al.