Are Data-driven Explanations Robust against Out-of-distribution Data?

29 March 2023

Papers citing "Are Data-driven Explanations Robust against Out-of-distribution Data?"

10 / 10 papers shown

Title
Beyond Accuracy: Ensuring Correct Predictions With Correct Rationales Tang Li Mengmeng Ma Xi Peng 29 2 0 31 Oct 2024
Text-Guided Attention is All You Need for Zero-Shot Robustness in Vision-Language Models Lu Yu Haiyang Zhang Changsheng Xu AAML VLM 21 3 0 29 Oct 2024
Adaptive Cascading Network for Continual Test-Time Adaptation Kien X. Nguyen Fengchun Qiao Xi Peng TTA CLL VLM 21 1 0 17 Jul 2024
Beyond the Federation: Topology-aware Federated Learning for Generalization to Unseen Clients Mengmeng Ma Tang Li Xi Peng 76 4 0 06 Jul 2024
Gradient-Regularized Out-of-Distribution Detection Sina Sharifi Taha Entesari Bardia Safaei Vishal M. Patel Mahyar Fazlyab OODD 21 4 0 18 Apr 2024
Topology-aware Robust Optimization for Out-of-distribution Generalization Fengchun Qiao Xi Peng 17 9 0 26 Jul 2023
Selective Mixup Helps with Distribution Shifts, But Not (Only) because of Mixup Damien Teney Jindong Wang Ehsan Abbasnejad 17 6 0 26 May 2023
Out-of-Domain Generalization from a Single Source: An Uncertainty Quantification Approach Xi Peng Fengchun Qiao Long Zhao OOD 37 33 0 05 Aug 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 215 888 0 02 Mar 2020
Domain-Adversarial Training of Neural Networks Yaroslav Ganin E. Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette M. Marchand Victor Lempitsky GAN OOD 149 9,300 0 28 May 2015