Papers
On the Theory of Transfer Learning: The Importance of Task Diversity
Nilesh Tripuraneni, Michael I. Jordan, Chi Jin
Detecting Hands and Recognizing Physical Contact in the Wild
Supreeth Narasimhaswamy, Trung Nguyen, Minh Hoai Nguyen
Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification
Lynton Ardizzone, Radek Mackowiak, Carsten Rother et al.
Efficient Online Learning of Optimal Rankings: Dimensionality Reduction via Gradient Descent
Dimitris Fotakis, Thanasis Lianeas, Georgios Piliouras et al.
Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows
Ruizhi Deng, Bo Chang, Marcus A Brubaker et al.
Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs
Jiong Zhu, Yujun Yan, Lingxiao Zhao et al.
Boosting Adversarial Training with Hypersphere Embedding
Tianyu Pang, Xiao Yang, Yinpeng Dong et al.
Critic Regularized Regression
Ziyu Wang, Alexander Novikov, Konrad Zolna et al.
Generalized Hindsight for Reinforcement Learning
Alexander Li, Lerrel Pinto, Pieter Abbeel
Can Implicit Bias Explain Generalization? Stochastic Convex Optimization as a Case Study
Assaf Dauber, Meir Feder, Tomer Koren et al.
Estimating weighted areas under the ROC curve
Andreas Maurer, Massimiliano Pontil
No-Regret Learning Dynamics for Extensive-Form Correlated Equilibrium
Andrea Celli, Alberto Marchesi, Gabriele Farina et al.
Spectra of the Conjugate Kernel and Neural Tangent Kernel for linear-width neural networks
Zhou Fan, Zhichao Wang
ICAM: Interpretable Classification via Disentangled Representations and Feature Attribution Mapping
Cher Bass, Mariana da Silva, Carole Sudre et al.
Language and Visual Entity Relationship Graph for Agent Navigation
Yicong Hong, Cristian Rodriguez, Yuankai Qi et al.
The NetHack Learning Environment
Heinrich Küttler, Nantas Nardelli, Alexander Miller et al.
MRI Banding Removal via Adversarial Training
Aaron Defazio, Tullie Murrell, Michael Recht
Automatic Curriculum Learning through Value Disagreement
Yunzhi Zhang, Pieter Abbeel, Lerrel Pinto
Geometric Exploration for Online Control
Orestis Plevrakis, Elad Hazan
An Improved Analysis of (Variance-Reduced) Policy Gradient and Natural Policy Gradient Methods
Yanli Liu, Kaiqing Zhang, Tamer Basar et al.
Tackling the Objective Inconsistency Problem in Heterogeneous Federated Optimization
Jianyu Wang, Qinghua Liu, Hao Liang et al.
Part-dependent Label Noise: Towards Instance-dependent Label Noise
Xiaobo Xia, Tongliang Liu, Bo Han et al.
Learning Certified Individually Fair Representations
Anian Ruoss, Mislav Balunovic, Marc Fischer et al.
Heuristic Domain Adaptation
Shuhao Cui, Xuan Jin, Shuhui Wang et al.
Differentiable Augmentation for Data-Efficient GAN Training
Shengyu Zhao, Zhijian Liu, Ji Lin et al.