Papers
Adaptive Sampling for Minimax Fair Classification
Shubhanshu Shekhar, Greg Fields, Mohammad Ghavamzadeh et al.
Adaptive wavelet distillation from neural networks through interpretations
Wooseok Ha, Chandan Singh, Francois Lanusse et al.
Adder Attention for Vision Transformer
Han Shu, Jiahao Wang, Hanting Chen et al.
Addressing Algorithmic Disparity and Performance Inconsistency in Federated Learning
Sen Cui, Weishen Pan, Jian Liang et al.
Adjusting for Autocorrelated Errors in Neural Networks for Time Series
Fan-Keng Sun, Chris Lang, Duane Boning
A Domain-Shrinking based Bayesian Optimization Algorithm with Order-Optimal Regret Performance
Sudeep Salgia, Sattar Vakili, Qing Zhao
Adversarial Attack Generation Empowered by Min-Max Optimization
Jingkang Wang, Tianyun Zhang, Sijia Liu et al.
Adversarial Attacks on Black Box Video Classifiers: Leveraging the Power of Geometric Transformations
Shasha Li, Abhishek Aich, Shitong Zhu et al.
Adversarial Attacks on Graph Classifiers via Bayesian Optimisation
Xingchen Wan, Henry Kenlay, Robin Ru et al.
Adversarial Examples for k-Nearest Neighbor Classifiers Based on Higher-Order Voronoi Diagrams
Chawin Sitawarin, Evgenios Kornaropoulos, Dawn Song et al.
Adversarial Examples in Multi-Layer Random ReLU Networks
Peter L. Bartlett, Sebastien Bubeck, Yeshwanth Cherapanamjeri
Adversarial Examples Make Strong Poisons
Liam Fowl, Micah Goldblum, Ping-yeh Chiang et al.
Adversarial Feature Desensitization
Pouya Bashivan, Reza Bayat, Adam Ibrahim et al.
Adversarial Graph Augmentation to Improve Graph Contrastive Learning
Susheel Suresh, Pan Li, Cong Hao et al.
Adversarial Intrinsic Motivation for Reinforcement Learning
Ishan Durugkar, Mauricio Tec, Scott Niekum et al.
Adversarially Robust 3D Point Cloud Recognition Using Self-Supervisions
Jiachen Sun, Yulong Cao, Christopher B Choy et al.
Adversarially Robust Change Point Detection
Mengchu Li, Yi Yu
Adversarially robust learning for security-constrained optimal power flow
Priya Donti, Aayushya Agarwal, Neeraj Vijay Bedmutha et al.
Adversarial Neuron Pruning Purifies Backdoored Deep Models
Dongxian Wu, Yisen Wang
Adversarial Regression with Doubly Non-negative Weighting Matrices
Tam Le, Truyen Nguyen, Makoto Yamada et al.
Adversarial Reweighting for Partial Domain Adaptation
Xiang Gu, Xi Yu, yan yang et al.
Adversarial Robustness of Streaming Algorithms through Importance Sampling
Vladimir Braverman, Avinatan Hassidim, Yossi Matias et al.
Adversarial Robustness with Non-uniform Perturbations
Ecenaz Erdemir, Jeffrey Bickford, Luca Melis et al.
Adversarial Robustness without Adversarial Training: A Teacher-Guided Curriculum Learning Approach
Anindya Sarkar, Anirban Sarkar, Sowrya Gali et al.
Adversarial Robustness with Semi-Infinite Constrained Learning
Alexander Robey, Luiz Chamon, George J. Pappas et al.