Papers
Fair Multiple Decision Making Through Soft Interventions
Yaowei Hu, Yongkai Wu, Lu Zhang et al.
Cream of the Crop: Distilling Prioritized Paths For One-Shot Neural Architecture Search
Houwen Peng, Hao Du, Hongyuan Yu et al.
On the Role of Sparsity and DAG Constraints for Learning Linear DAGs
Ignavier Ng, AmirEmad Ghassami, Kun Zhang
Stochastic Stein Discrepancies
Jackson Gorham, Anant Raj, Lester W. Mackey
PAC-Bayesian Bound for the Conditional Value at Risk
Zakaria Mhammedi, Benjamin Guedj, Robert C. Williamson
Digraph Inception Convolutional Networks
Zekun Tong, Yuxuan Liang, Changsheng Sun et al.
Neural Anisotropy Directions
Guillermo Ortiz-Jimenez, Apostolos Modas, Seyed-Mohsen Moosavi et al.
Adversarially Robust Few-Shot Learning: A Meta-Learning Approach
Micah Goldblum, Liam Fowl, Tom Goldstein
Replica-Exchange Nos\'e-Hoover Dynamics for Bayesian Learning on Large Datasets
Rui Luo, Qiang Zhang, Yaodong Yang et al.
Robust large-margin learning in hyperbolic space
Melanie Weber, Manzil Zaheer, Ankit Singh Rawat et al.
Breaking Reversibility Accelerates Langevin Dynamics for Non-Convex Optimization
Xuefeng GAO, Mert Gurbuzbalaban, Lingjiong Zhu
Learning outside the Black-Box: The pursuit of interpretable models
Jonathan Crabbe, Yao Zhang, William Zame et al.
Robustness of Community Detection to Random Geometric Perturbations
Sandrine Peche, Vianney Perchet
On Reward-Free Reinforcement Learning with Linear Function Approximation
Ruosong Wang, Simon S Du, Lin Yang et al.
Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting
LEI BAI, Lina Yao, Can Li et al.
Fewer is More: A Deep Graph Metric Learning Perspective Using Fewer Proxies
Yuehua Zhu, Muli Yang, Cheng Deng et al.
Online Multitask Learning with Long-Term Memory
Mark Herbster, Stephen Pasteris, Lisa Tse
Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting
Defu Cao, Yujing Wang, Juanyong Duan et al.
Continuous Regularized Wasserstein Barycenters
Lingxiao Li, Aude Genevay, Mikhail Yurochkin et al.
Axioms for Learning from Pairwise Comparisons
Ritesh Noothigattu, Dominik Peters, Ariel D Procaccia
Robust Recovery via Implicit Bias of Discrepant Learning Rates for Double Over-parameterization
Chong You, Zhihui Zhu, Qing Qu et al.
SOLOv2: Dynamic and Fast Instance Segmentation
Xinlong Wang, Rufeng Zhang, Tao Kong et al.
Diversity-Guided Multi-Objective Bayesian Optimization With Batch Evaluations
Mina Konakovic Lukovic, Yunsheng Tian, Wojciech Matusik
ARMA Nets: Expanding Receptive Field for Dense Prediction
Jiahao Su, Shiqi Wang, Furong Huang
Synthesize, Execute and Debug: Learning to Repair for Neural Program Synthesis
Kavi Gupta, Peter Ebert Christensen, Xinyun Chen et al.