Papers
A Debiased MDI Feature Importance Measure for Random Forests
Xiao Li, Yu Wang, Sumanta Basu et al.
Kernel quadrature with DPPs
Ayoub Belhadji, Rémi Bardenet, Pierre Chainais
Learning from brains how to regularize machines
Zhe Li, Wieland Brendel, Edgar Walker et al.
Private Learning Implies Online Learning: An Efficient Reduction
Alon Gonen, Elad Hazan, Shay Moran
Meta Learning with Relational Information for Short Sequences
Yujia Xie, Haoming Jiang, Feng Liu et al.
Loaded DiCE: Trading off Bias and Variance in Any-Order Score Function Gradient Estimators for Reinforcement Learning
Gregory Farquhar, Shimon Whiteson, Jakob Foerster
Unsupervised State Representation Learning in Atari
Ankesh Anand, Evan Racah, Sherjil Ozair et al.
Learning from Trajectories via Subgoal Discovery
Sujoy Paul, Jeroen Vanbaar, Amit Roy-Chowdhury
Image Synthesis with a Single (Robust) Classifier
Shibani Santurkar, Andrew Ilyas, Dimitris Tsipras et al.
Learning search spaces for Bayesian optimization: Another view of hyperparameter transfer learning
Valerio Perrone, Huibin Shen, Matthias W Seeger et al.
Memory-oriented Decoder for Light Field Salient Object Detection
Miao Zhang, Jingjing Li, JI WEI et al.
Functional Adversarial Attacks
Cassidy Laidlaw, Soheil Feizi
A unified theory for the origin of grid cells through the lens of pattern formation
Ben Sorscher, Gabriel Mel, Surya Ganguli et al.
Deep Set Prediction Networks
Yan Zhang, Jonathon Hare, Adam Prugel-Bennett
Riemannian batch normalization for SPD neural networks
Daniel Brooks, Olivier Schwander, Frederic Barbaresco et al.
Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching
Hongteng Xu, Dixin Luo, Lawrence Carin
Algorithm-Dependent Generalization Bounds for Overparameterized Deep Residual Networks
Spencer Frei, Yuan Cao, Quanquan Gu
Novel positional encodings to enable tree-based transformers
Vighnesh Shiv, Chris Quirk
Category Anchor-Guided Unsupervised Domain Adaptation for Semantic Segmentation
Qiming ZHANG, Jing Zhang, Wei Liu et al.
Gradient Information for Representation and Modeling
Jie Ding, Robert Calderbank, Vahid Tarokh
Beyond Vector Spaces: Compact Data Representation as Differentiable Weighted Graphs
Denis Mazur, Vage Egiazarian, Stanislav Morozov et al.
Online Optimal Control with Linear Dynamics and Predictions: Algorithms and Regret Analysis
Yingying Li, Xin Chen, Na Li
Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model
Atilim Gunes Baydin, Lei Shao, Wahid Bhimji et al.
Positional Normalization
Boyi Li, Felix Wu, Kilian Q. Weinberger et al.
Scalable Global Optimization via Local Bayesian Optimization
David Eriksson, Michael Pearce, Jacob Gardner et al.