Title
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Re-evaluating Group Robustness via Adaptive Class-Specific Scaling Seonguk Seo Bohyung Han 86 0 0 19 Dec 2024
Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation Burak Ekim G. Tadesse Caleb Robinson G. Q. Hacheme Michael Schmitt Rahul Dodhia J. L. Ferres OODD 102 1 0 18 Dec 2024
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Beyond Pixels: Text Enhances Generalization in Real-World Image Restoration Haoze Sun W. J. Li Jiaheng Liu Kaiwen Zhou Yongqiang Chen Yong Guo Yunshui Li Renjing Pei Long Peng Yuqing Yang DiffM 76 1 0 01 Dec 2024
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TPIE: Topology-Preserved Image Editing With Text Instructions Nivetha Jayakumar Srivardhan Reddy Gadila Tonmoy Hossain Yangfeng Ji Miaomiao Zhang DiffM MedIm 84 0 0 22 Nov 2024
Curriculum-enhanced GroupDRO: Challenging the Norm of Avoiding Curriculum Learning in Subpopulation Shift Setups Antonio Barbalau 77 0 0 22 Nov 2024
Vertical Validation: Evaluating Implicit Generative Models for Graphs on Thin Support Regions Mai Elkady Thu Bui Bruno Ribeiro David I. Inouye 67 0 0 20 Nov 2024
Decentralizing Test-time Adaptation under Heterogeneous Data Streams Zixian Su Jingwei Guo Xi Yang Qiufeng Wang K. Huang TTA 89 0 0 16 Nov 2024
MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations Qixuan Jin Walter Gerych Marzyeh Ghassemi DiffM MedIm 33 0 0 16 Nov 2024
FedAli: Personalized Federated Learning with Aligned Prototypes through Optimal Transport Sannara Ek Kaile Wang François Portet P. Lalanda Jiannong Cao FedML 38 0 0 15 Nov 2024
Are nuclear masks all you need for improved out-of-domain generalisation? A closer look at cancer classification in histopathology Dhananjay Tomar Alexander Binder Andreas Kleppe 39 0 0 14 Nov 2024
Ghost-Connect Net: A Generalization-Enhanced Guidance For Sparse Deep Networks Under Distribution Shifts Mary Isabelle Wisell Salimeh Yasaei Sekeh 28 0 0 14 Nov 2024
Overcoming label shift in targeted federated learning Edvin Listo Zec Adam Breitholtz Fredrik D. Johansson FedML 42 0 0 06 Nov 2024
Local Lesion Generation is Effective for Capsule Endoscopy Image Data Augmentation in a Limited Data Setting Adrian B. Chłopowiec Adam R. Chłopowiec Krzysztof Galus Wojciech Cebula Martin Tabakov MedIm 38 0 0 05 Nov 2024
A Directional Rockafellar-Uryasev Regression Alberto Arletti 29 0 0 04 Nov 2024
Typicalness-Aware Learning for Failure Detection Yijun Liu Jiequan Cui Zhuotao Tian Senqiao Yang Qingdong He Xiaoling Wang Jingyong Su AAML 28 0 0 04 Nov 2024
Mitigating Spurious Correlations via Disagreement Probability Hyeonggeun Han Sehwan Kim Hyungjun Joo Sangwoo Hong Jungwoo Lee 39 1 0 04 Nov 2024
FEED: Fairness-Enhanced Meta-Learning for Domain Generalization Kai Jiang Chen Zhao Haoliang Wang Feng Chen OOD FedML 35 3 0 02 Nov 2024
A Simple Remedy for Dataset Bias via Self-Influence: A Mislabeled Sample Perspective Yeonsung Jung Jaeyun Song J. Yang Jin-Hwa Kim Sung-Yub Kim Eunho Yang 42 0 0 01 Nov 2024
Benchmark Data Repositories for Better Benchmarking Rachel Longjohn Markelle Kelly Sameer Singh Padhraic Smyth 46 0 0 31 Oct 2024
EMGBench: Benchmarking Out-of-Distribution Generalization and Adaptation for Electromyography Jehan Yang Maxwell Soh Vivianna Lieu Douglas J. Weber Zackory M. Erickson OOD 46 0 0 31 Oct 2024
Focus On This, Not That! Steering LLMs With Adaptive Feature Specification Tom A. Lamb Adam Davies Alasdair Paren Philip Torr Francesco Pinto 49 0 0 30 Oct 2024
Considerations for Distribution Shift Robustness of Diagnostic Models in Healthcare Arno Blaas Adam Goliñski Andrew C. Miller Luca Zappella J. Jacobsen Christina Heinze-Deml OOD 28 0 0 25 Oct 2024
Ensembling Finetuned Language Models for Text Classification Sebastian Pineda Arango Maciej Janowski Lennart Purucker Arber Zela Frank Hutter Josif Grabocka 33 0 0 25 Oct 2024
Assessing and improving reliability of neighbor embedding methods: a map-continuity perspective Zhexuan Liu Rong Ma Yiqiao Zhong 60 0 0 22 Oct 2024
Optimizing importance weighting in the presence of sub-population shifts Floris Holstege Bram Wouters Noud van Giersbergen C. Diks 29 0 0 18 Oct 2024
Unearthing Skill-Level Insights for Understanding Trade-Offs of Foundation Models Mazda Moayeri Vidhisha Balachandran Varun Chandrasekaran Safoora Yousefi Thomas Fel S. Feizi Besmira Nushi Neel Joshi Vibhav Vineet 34 2 0 17 Oct 2024
Dual Prototype Evolving for Test-Time Generalization of Vision-Language Models Ce Zhang Simon Stepputtis Katia P. Sycara Yaqi Xie VLM 37 5 0 16 Oct 2024
ALVIN: Active Learning Via INterpolation Michalis Korakakis Andreas Vlachos Adrian Weller 30 0 0 11 Oct 2024
Evaluating Computational Pathology Foundation Models for Prostate Cancer Grading under Distribution Shifts Fredrik K. Gustafsson Mattias Rantalainen OOD MedIm 34 0 0 09 Oct 2024
Communication-Efficient Federated Group Distributionally Robust Optimization Zhishuai Guo Tianbao Yang FedML 33 0 0 08 Oct 2024
QT-DoG: Quantization-aware Training for Domain Generalization Saqib Javed Hieu Le Mathieu Salzmann OOD MQ 30 1 0 08 Oct 2024
Generalizing to any diverse distribution: uniformity, gentle finetuning and rebalancing Andreas Loukas Karolis Martinkus Ed Wagstaff Kyunghyun Cho OOD 28 1 0 08 Oct 2024
Improving Predictor Reliability with Selective Recalibration Thomas P. Zollo Zhun Deng Jake C. Snell T. Pitassi Richard Zemel OOD 41 0 0 07 Oct 2024
Trained Models Tell Us How to Make Them Robust to Spurious Correlation without Group Annotation Mahdi Ghaznavi Hesam Asadollahzadeh Fahimeh Hosseini Noohdani Soroush Vafaie Tabar Hosein Hasani Taha Akbari Alvanagh M. Rohban M. Baghshah 34 0 0 07 Oct 2024
Improving Distribution Alignment with Diversity-based Sampling Andrea Napoli Paul White 21 0 0 05 Oct 2024
In-context Learning in Presence of Spurious Correlations Hrayr Harutyunyan R. Darbinyan Samvel Karapetyan Hrant Khachatrian LRM 51 1 0 04 Oct 2024
OOD-Chameleon: Is Algorithm Selection for OOD Generalization Learnable? Liangze Jiang Damien Teney OODD OOD 28 1 0 03 Oct 2024
SAFLEX: Self-Adaptive Augmentation via Feature Label Extrapolation Mucong Ding Bang An Yuancheng Xu Anirudh Satheesh Furong Huang 27 1 0 03 Oct 2024
DecTrain: Deciding When to Train a Monocular Depth DNN Online Zih-Sing Fu Soumya Sudhakar S. Karaman Vivienne Sze 46 0 0 03 Oct 2024
Toward a Holistic Evaluation of Robustness in CLIP Models Weijie Tu Weijian Deng Tom Gedeon VLM 38 5 0 02 Oct 2024
Leveraging generative models to characterize the failure conditions of image classifiers Adrien Le Coz Stéphane Herbin Faouzi Adjed GAN 29 1 0 01 Oct 2024
Crafting Distribution Shifts for Validation and Training in Single Source Domain Generalization Nikos Efthymiadis Giorgos Tolias Ondřej Chum OOD 23 0 0 29 Sep 2024
Bridging OOD Detection and Generalization: A Graph-Theoretic View Han Wang Yixuan Li CML 39 0 0 26 Sep 2024
Navigating the Shortcut Maze: A Comprehensive Analysis of Shortcut Learning in Text Classification by Language Models Yuqing Zhou Ruixiang Tang Ziyu Yao Ziwei Zhu 39 2 0 26 Sep 2024
Benchmarking Domain Generalization Algorithms in Computational Pathology Neda Zamanitajeddin Mostafa Jahanifar Kesi Xu Fouzia Siraj Nasir M. Rajpoot OOD 36 2 0 25 Sep 2024