Papers
11,015 papers found
Advancing Radiograph Representation Learning with Masked Record Modeling
Hong-Yu Zhou, Chenyu Lian, Liansheng Wang et al.
Adversarial Attacks on Adversarial Bandits
Yuzhe Ma, Zhijin Zhou
Adversarial Diversity in Hanabi
Brandon Cui, Andrei Lupu, Samuel Sokota et al.
Adversarial Imitation Learning with Preferences
Aleksandar Taranovic, Andras Gabor Kupcsik, Niklas Freymuth et al.
Adversarial Training of Self-supervised Monocular Depth Estimation against Physical-World Attacks
Zhiyuan Cheng, James Chenhao Liang, Guanhong Tao et al.
AE-FLOW: Autoencoders with Normalizing Flows for Medical Images Anomaly Detection
Yuzhong Zhao, Qiaoqiao Ding, Xiaoqun Zhang
A framework for benchmarking Class-out-of-distribution detection and its application to ImageNet
Ido Galil, Mohammed Dabbah, Ran El-Yaniv
A General Framework For Proving The Equivariant Strong Lottery Ticket Hypothesis
Damien Ferbach, Christos Tsirigotis, Gauthier Gidel et al.
A General Framework for Sample-Efficient Function Approximation in Reinforcement Learning
Zixiang Chen, Chris Junchi Li, Huizhuo Yuan et al.
A General Rank Preserving Framework for Asymmetric Image Retrieval
Hui Wu, Min Wang, Wengang Zhou et al.
Agent-based Graph Neural Networks
Karolis Martinkus, Pál András Papp, Benedikt Schesch et al.
A GNN-Guided Predict-and-Search Framework for Mixed-Integer Linear Programming
Qingyu Han, Linxin Yang, Qian Chen et al.
Agnostic Learning of General ReLU Activation Using Gradient Descent
Pranjal Awasthi, Alex Tang, Aravindan Vijayaraghavan
A Graph Neural Network Approach to Automated Model Building in Cryo-EM Maps
Kiarash Jamali, Dari Kimanius, Sjors HW Scheres
Agree to Disagree: Diversity through Disagreement for Better Transferability
Matteo Pagliardini, Martin Jaggi, François Fleuret et al.
AGRO: Adversarial discovery of error-prone Groups for Robust Optimization
Bhargavi Paranjape, Pradeep Dasigi, Vivek Srikumar et al.
A Higher Precision Algorithm for Computing the $1$-Wasserstein Distance
Pankaj K Agarwal, Sharath Raghvendra, Pouyan Shirzadian et al.
A Holistic View of Label Noise Transition Matrix in Deep Learning and Beyond
LIN Yong, Renjie Pi, WEIZHONG ZHANG et al.
AIM: Adapting Image Models for Efficient Video Action Recognition
Taojiannan Yang, Yi Zhu, Yusheng Xie et al.
A Kernel Perspective of Skip Connections in Convolutional Networks
Daniel Barzilai, Amnon Geifman, Meirav Galun et al.
A Laplace-inspired Distribution on SO(3) for Probabilistic Rotation Estimation
Yingda Yin, Yang Wang, He Wang et al.
A law of adversarial risk, interpolation, and label noise
Daniel Paleka, Amartya Sanyal
A Learning Based Hypothesis Test for Harmful Covariate Shift
Tom Ginsberg, Zhongyuan Liang, Rahul G Krishnan
Aligning Model and Macaque Inferior Temporal Cortex Representations Improves Model-to-Human Behavioral Alignment and Adversarial Robustness
Joel Dapello, Kohitij Kar, Martin Schrimpf et al.
Almost Linear Constant-Factor Sketching for $\ell_1$ and Logistic Regression
Alexander Munteanu, Simon Omlor, David Woodruff