Papers
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke, Sam Gross, Francisco Massa et al.
Multi-marginal Wasserstein GAN
Jiezhang Cao, Langyuan Mo, Yifan Zhang et al.
LiteEval: A Coarse-to-Fine Framework for Resource Efficient Video Recognition
Zuxuan Wu, Caiming Xiong, Yu-Gang Jiang et al.
An Algorithm to Learn Polytree Networks with Hidden Nodes
Firoozeh Sepehr, Donatello Materassi
Towards Explaining the Regularization Effect of Initial Large Learning Rate in Training Neural Networks
Yuanzhi Li, Colin Wei, Tengyu Ma
Beyond Alternating Updates for Matrix Factorization with Inertial Bregman Proximal Gradient Algorithms
Mahesh Chandra Mukkamala, Peter Ochs
RSN: Randomized Subspace Newton
Robert Gower, Dmitry Kovalev, Felix Lieder et al.
Are Disentangled Representations Helpful for Abstract Visual Reasoning?
Sjoerd van Steenkiste, Francesco Locatello, Jürgen Schmidhuber et al.
Attribution-Based Confidence Metric For Deep Neural Networks
Susmit Jha, Sunny Raj, Steven Fernandes et al.
Variance Reduction in Bipartite Experiments through Correlation Clustering
Jean Pouget-Abadie, Kevin Aydin, Warren Schudy et al.
Volumetric Correspondence Networks for Optical Flow
Gengshan Yang, Deva Ramanan
Learning Conditional Deformable Templates with Convolutional Networks
Adrian Dalca, Marianne Rakic, John Guttag et al.
Paradoxes in Fair Machine Learning
Paul Goelz, Anson Kahng, Ariel D Procaccia
Input-Cell Attention Reduces Vanishing Saliency of Recurrent Neural Networks
Aya Abdelsalam Ismail, Mohamed Gunady, Luiz Pessoa et al.
Explanations can be manipulated and geometry is to blame
Ann-Kathrin Dombrowski, Maximillian Alber, Christopher Anders et al.
Kernel Stein Tests for Multiple Model Comparison
Jen Ning Lim, Makoto Yamada, Bernhard Schölkopf et al.
Regularized Anderson Acceleration for Off-Policy Deep Reinforcement Learning
Wenjie Shi, Shiji Song, Hui Wu et al.
Provably Powerful Graph Networks
Haggai Maron, Heli Ben-Hamu, Hadar Serviansky et al.
Minimum Stein Discrepancy Estimators
Alessandro Barp, Francois-Xavier Briol, Andrew Duncan et al.
Tight Dimensionality Reduction for Sketching Low Degree Polynomial Kernels
Michela Meister, Tamas Sarlos, David Woodruff
Leveraging Labeled and Unlabeled Data for Consistent Fair Binary Classification
Evgenii Chzhen, Christophe Denis, Mohamed Hebiri et al.
Spatial-Aware Feature Aggregation for Image based Cross-View Geo-Localization
Yujiao Shi, Liu Liu, Xin Yu et al.
A General Theory of Equivariant CNNs on Homogeneous Spaces
Taco S Cohen, Mario Geiger, Maurice Weiler