The Two Dimensions of Worst-case Training and the Integrated Effect for Out-of-domain Generalization

9 April 2022

Papers citing "The Two Dimensions of Worst-case Training and the Integrated Effect for Out-of-domain Generalization"

21 / 21 papers shown

Title
FLIP: Towards Comprehensive and Reliable Evaluation of Federated Prompt Learning Dongping Liao X. Gao Yabo Xu Chengzhong Xu FedML VLM 42 0 0 28 Mar 2025
CreINNs: Credal-Set Interval Neural Networks for Uncertainty Estimation in Classification Tasks Kaizheng Wang Keivan K1 Shariatmadar Shireen Kudukkil Manchingal Fabio Cuzzolin David Moens Hans Hallez UQCV BDL 92 12 0 28 Jan 2025
UnLearning from Experience to Avoid Spurious Correlations Jeff Mitchell Jesús Martínez del Rincón Niall McLaughlin 36 0 0 04 Sep 2024
Decision-Focused Evaluation of Worst-Case Distribution Shift Kevin Ren Yewon Byun Bryan Wilder OffRL 37 1 0 04 Jul 2024
CHG Shapley: Efficient Data Valuation and Selection towards Trustworthy Machine Learning Huaiguang Cai FedML TDI 64 1 0 17 Jun 2024
Beyond Finite Data: Towards Data-free Out-of-distribution Generalization via Extrapolation Yijiang Li Sucheng Ren Weipeng Deng Yuzhi Xu Ying Gao Edith C.H. Ngai Haohan Wang OOD 41 1 0 08 Mar 2024
Domain Invariant Learning for Gaussian Processes and Bayesian Exploration Xilong Zhao Siyuan Bian Yaoyun Zhang Yuliang Zhang Qinying Gu Xinbing Wang Cheng Zhou Nanyang Ye 29 1 0 18 Dec 2023
Choosing Wisely and Learning Deeply: Selective Cross-Modality Distillation via CLIP for Domain Generalization Jixuan Leng Yijiang Li Haohan Wang VLM 34 0 0 26 Nov 2023
Domain Generalization Guided by Gradient Signal to Noise Ratio of Parameters Mateusz Michalkiewicz M. Faraki Xiang Yu Manmohan Chandraker Mahsa Baktash 24 2 0 11 Oct 2023
A Sentence Speaks a Thousand Images: Domain Generalization through Distilling CLIP with Language Guidance Zeyi Huang Andy Zhou Zijian Lin Mu Cai Haohan Wang Yong Jae Lee VLM OOD 32 28 0 21 Sep 2023
DomainDrop: Suppressing Domain-Sensitive Channels for Domain Generalization Jintao Guo Lei Qi Yinghuan Shi OOD 35 21 0 20 Aug 2023
Rethinking the Evaluation Protocol of Domain Generalization Han Yu Xingxuan Zhang Renzhe Xu Jiashuo Liu Yue He Peng Cui OOD 27 7 0 24 May 2023
ALOFT: A Lightweight MLP-like Architecture with Dynamic Low-frequency Transform for Domain Generalization Jintao Guo Na Wang Lei Qi Yinghuan Shi 34 33 0 21 Mar 2023
Expeditious Saliency-guided Mix-up through Random Gradient Thresholding Minh-Long Luu Zeyi Huang Eric P. Xing Yong Jae Lee Haohan Wang AAML 34 1 0 09 Dec 2022
OOD-Probe: A Neural Interpretation of Out-of-Domain Generalization Zining Zhu Soroosh Shahtalebi Frank Rudzicz 25 4 0 25 Aug 2022
Robustar: Interactive Toolbox Supporting Precise Data Annotation for Robust Vision Learning Chonghan Chen Haohan Wang Leyang Hu Yuhao Zhang Shuguang Lyu Jingcheng Wu Xinnuo Li Linjing Sun Eric P. Xing VLM 22 0 0 18 Jul 2022
Toward Learning Human-aligned Cross-domain Robust Models by Countering Misaligned Features Haohan Wang Zeyi Huang Hanlin Zhang Yong Jae Lee Eric P. Xing OOD 132 16 0 05 Nov 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
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 323 4,212 0 23 Aug 2019
There Are Many Consistent Explanations of Unlabeled Data: Why You Should Average Ben Athiwaratkun Marc Finzi Pavel Izmailov A. Wilson 202 243 0 14 Jun 2018
Domain Adaptation: Learning Bounds and Algorithms Yishay Mansour M. Mohri Afshin Rostamizadeh 179 789 0 19 Feb 2009