Papers
APT-36K: A Large-scale Benchmark for Animal Pose Estimation and Tracking
Yuxiang Yang, Junjie Yang, Yufei Xu et al.
A Quadrature Rule combining Control Variates and Adaptive Importance Sampling
Rémi Leluc, François Portier, Johan Segers et al.
A Quantitative Geometric Approach to Neural-Network Smoothness
Zi Wang, Gautam Prakriya, Somesh Jha
Archimedes Meets Privacy: On Privately Estimating Quantiles in High Dimensions Under Minimal Assumptions
Omri Ben-Eliezer, Dan Mikulincer, Ilias Zadik
Are all Frames Equal? Active Sparse Labeling for Video Action Detection
Aayush Rana, Yogesh Rawat
Are All Losses Created Equal: A Neural Collapse Perspective
Jinxin Zhou, Chong You, Xiao Li et al.
Are AlphaZero-like Agents Robust to Adversarial Perturbations?
Li-Cheng Lan, Huan Zhang, Ti-Rong Wu et al.
Are Defenses for Graph Neural Networks Robust?
Felix Mujkanovic, Simon Geisler, Stephan Günnemann et al.
A Reduction to Binary Approach for Debiasing Multiclass Datasets
Ibrahim M Alabdulmohsin, Jessica Schrouff, Sanmi Koyejo
Are GANs overkill for NLP?
David Alvarez-Melis, Vikas Garg, Adam Kalai
A Regret-Variance Trade-Off in Online Learning
Dirk van der Hoeven, Nikita Zhivotovskiy, Nicolò Cesa-Bianchi
A Reparametrization-Invariant Sharpness Measure Based on Information Geometry
Cheongjae Jang, Sungyoon Lee, Frank Park et al.
Are Two Heads the Same as One? Identifying Disparate Treatment in Fair Neural Networks
Michael Lohaus, Matthäus Kleindessner, Krishnaram Kenthapadi et al.
Are You Stealing My Model? Sample Correlation for Fingerprinting Deep Neural Networks
Jiyang Guan, Jian Liang, Ran He
A Robust Phased Elimination Algorithm for Corruption-Tolerant Gaussian Process Bandits
Ilija Bogunovic, Zihan Li, Andreas Krause et al.
A Rotated Hyperbolic Wrapped Normal Distribution for Hierarchical Representation Learning
Seunghyuk Cho, Juyong Lee, Jaesik Park et al.
A Scalable Deterministic Global Optimization Algorithm for Training Optimal Decision Tree
Kaixun Hua, Jiayang Ren, Yankai Cao
A Simple and Optimal Policy Design for Online Learning with Safety against Heavy-tailed Risk
David Simchi-Levi, Zeyu Zheng, Feng Zhu
A Simple and Provably Efficient Algorithm for Asynchronous Federated Contextual Linear Bandits
Jiafan He, Tianhao Wang, Yifei Min et al.
A Simple Approach to Automated Spectral Clustering
Jicong Fan, Yiheng Tu, Zhao Zhang et al.
A simple but strong baseline for online continual learning: Repeated Augmented Rehearsal
Yaqian Zhang, Bernhard Pfahringer, Eibe Frank et al.
A Simple Decentralized Cross-Entropy Method
Zichen Zhang, Jun Jin, Martin Jagersand et al.
A Single-timescale Analysis for Stochastic Approximation with Multiple Coupled Sequences
Han Shen, Tianyi Chen
Ask4Help: Learning to Leverage an Expert for Embodied Tasks
Kunal Pratap Singh, Luca Weihs, Alvaro Herrasti et al.