Title
SKADA-Bench: Benchmarking Unsupervised Domain Adaptation Methods with Realistic Validation On Diverse Modalities Yanis Lalou Théo Gnassounou Antoine Collas Antoine de Mathelin Oleksii Kachaiev Ambroise Odonnat Alexandre Gramfort Thomas Moreau Rémi Flamary 79 0 0 16 Jul 2024
What Does Softmax Probability Tell Us about Classifiers Ranking Across Diverse Test Conditions? Weijie Tu Weijian Deng Liang Zheng Tom Gedeon 32 0 0 14 Jun 2024
CLIPLoss and Norm-Based Data Selection Methods for Multimodal Contrastive Learning Yiping Wang Yifang Chen Wendan Yan Alex Fang Wenjing Zhou Kevin G. Jamieson S. Du 32 7 0 29 May 2024
Transfer Learning for T-Cell Response Prediction Josua Stadelmaier Brandon Malone Ralf Eggeling 21 0 0 18 Mar 2024
Out of the Ordinary: Spectrally Adapting Regression for Covariate Shift Benjamin Eyre Elliot Creager David Madras Antonio Torralba Katherine Heller OOD OODD 30 1 0 29 Dec 2023
COSTAR: Improved Temporal Counterfactual Estimation with Self-Supervised Learning Chuizheng Meng Yihe Dong Sercan Ö. Arik Yan Liu Tomas Pfister CML AI4TS 16 0 0 01 Nov 2023
Assessing and Enhancing Robustness of Deep Learning Models with Corruption Emulation in Digital Pathology Peixiang Huang Songtao Zhang Yulu Gan Rui Xu Rongqi Zhu Wenkang Qin Limei Guo Shan Jiang Lin Luo 25 4 0 31 Oct 2023
Gradual Domain Adaptation: Theory and Algorithms Yifei He Haoxiang Wang Bo Li Han Zhao CLL 41 5 0 20 Oct 2023
Learning to Drive Anywhere Ruizhao Zhu Peng Huang Eshed Ohn-Bar Venkatesh Saligrama 25 6 0 21 Sep 2023
Test-Time Poisoning Attacks Against Test-Time Adaptation Models Tianshuo Cong Xinlei He Yun Shen Yang Zhang AAML TTA 19 5 0 16 Aug 2023
Causality-oriented robustness: exploiting general noise interventions Xinwei Shen Peter Buhlmann Armeen Taeb OOD 47 7 0 18 Jul 2023
Distributional Shift Adaptation using Domain-Specific Features Anique Tahir Lu Cheng Ruocheng Guo Huan Liu VLM TTA OOD OODD 20 2 0 09 Nov 2022
Okapi: Generalising Better by Making Statistical Matches Match Myles Bartlett Sara Romiti V. Sharmanska Novi Quadrianto 32 3 0 07 Nov 2022
On Feature Learning in the Presence of Spurious Correlations Pavel Izmailov Polina Kirichenko Nate Gruver A. Wilson 24 116 0 20 Oct 2022
The Value of Out-of-Distribution Data Ashwin De Silva Rahul Ramesh Carey E. Priebe Pratik Chaudhari Joshua T. Vogelstein OODD 16 11 0 23 Aug 2022
Estimating Test Performance for AI Medical Devices under Distribution Shift with Conformal Prediction Charles Lu Syed Rakin Ahmed Praveer Singh Jayashree Kalpathy-Cramer OOD 25 5 0 12 Jul 2022
Shifts 2.0: Extending The Dataset of Real Distributional Shifts A. Malinin A. Athanasopoulos M. Barakovic Meritxell Bach Cuadra Mark J. F. Gales ... Francesco La Rosa Eli Sivena V. Tsarsitalidis Efi Tsompopoulou E. Volf OOD 22 28 0 30 Jun 2022
Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations Polina Kirichenko Pavel Izmailov A. Wilson OOD 29 314 0 06 Apr 2022
In-N-Out: Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution Robustness Sang Michael Xie Ananya Kumar Robbie Jones Fereshte Khani Tengyu Ma Percy Liang OOD 158 62 0 08 Dec 2020
Teacher-Student chain for efficient semi-supervised histology image classification Shayne Shaw Maciej Pajak Aneta Lisowska Sotirios A. Tsaftaris Alison Q. OÑeil 29 25 0 17 Mar 2020
MoleculeNet: A Benchmark for Molecular Machine Learning Zhenqin Wu Bharath Ramsundar Evan N. Feinberg Joseph Gomes C. Geniesse Aneesh S. Pappu K. Leswing Vijay S. Pande OOD 162 1,775 0 02 Mar 2017