Improving Out-of-Distribution Generalization by Adversarial Training
with Structured Priors

Improving Out-of-Distribution Generalization by Adversarial Training with Structured Priors

13 October 2022

Papers citing "Improving Out-of-Distribution Generalization by Adversarial Training with Structured Priors"

16 / 16 papers shown

Title
Beyond Interpretability: The Gains of Feature Monosemanticity on Model Robustness Qi Zhang Yifei Wang Jingyi Cui Xiang Pan Qi Lei Stefanie Jegelka Yisen Wang AAML 34 1 0 27 Oct 2024
Out-of-Distribution Learning with Human Feedback Haoyue Bai Xuefeng Du Katie Rainey Shibin Parameswaran Yixuan Li OODD 26 3 0 14 Aug 2024
Graph Adversarial Diffusion Convolution Songtao Liu Jinghui Chen Tianfan Fu Lu Lin Marinka Zitnik Dinghao Wu DiffM 39 2 0 04 Jun 2024
Are AI-Generated Text Detectors Robust to Adversarial Perturbations? Guanhua Huang Yuchen Zhang Zhe Li Yongjian You Mingze Wang Zhouwang Yang DeLMO 43 3 0 03 Jun 2024
Out-of-Distribution Data: An Acquaintance of Adversarial Examples -- A Survey Naveen Karunanayake Ravin Gunawardena Suranga Seneviratne Sanjay Chawla OOD 48 5 0 08 Apr 2024
Coverage-Guaranteed Prediction Sets for Out-of-Distribution Data Xin Zou Weiwei Liu 21 2 0 29 Mar 2024
RetiGen: A Framework for Generalized Retinal Diagnosis Using Multi-View Fundus Images Ze Chen Gongyu Zhang Jiayu Huo Joan Nunez do Rio Charalampos Komninos Yang Liu Rachel Sparks Sebastien Ourselin Christos Bergeles Timothy Jackson 26 0 0 22 Mar 2024
Better Representations via Adversarial Training in Pre-Training: A Theoretical Perspective Yue Xing Xiaofeng Lin Qifan Song Yi Tian Xu Belinda Zeng Guang Cheng SSL 23 0 0 26 Jan 2024
Enhancing Post-Hoc Explanation Benchmark Reliability for Image Classification T. Gomez Harold Mouchère FAtt 21 0 0 29 Nov 2023
Improving Model Generalization by On-manifold Adversarial Augmentation in the Frequency Domain Chang-rui Liu Wenzhao Xiang Yuan He H. Xue Shibao Zheng Hang Su 37 3 0 28 Feb 2023
Improving Domain Generalization with Domain Relations Huaxiu Yao Xinyu Yang Xinyi Pan Shengchao Liu Pang Wei Koh Chelsea Finn OOD AI4CE 52 8 0 06 Feb 2023
On the Connection between Invariant Learning and Adversarial Training for Out-of-Distribution Generalization Shiji Xin Yifei Wang Jingtong Su Yisen Wang OOD 21 7 0 18 Dec 2022
On the Convergence and Robustness of Adversarial Training Yisen Wang Xingjun Ma James Bailey Jinfeng Yi Bowen Zhou Quanquan Gu AAML 194 345 0 15 Dec 2021
Neuron Coverage-Guided Domain Generalization Chris Xing Tian Haoliang Li Xiaofei Xie Yang Liu Shiqi Wang 23 35 0 27 Feb 2021
Out-of-Distribution Generalization via Risk Extrapolation (REx) David M. Krueger Ethan Caballero J. Jacobsen Amy Zhang Jonathan Binas Dinghuai Zhang Rémi Le Priol Aaron Courville OOD 215 901 0 02 Mar 2020
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 296 39,194 0 01 Sep 2014