Title
Novel Node Category Detection Under Subpopulation Shift Hsing-Huan Chung Shravan Chaudhari Yoav Wald Xing Han Joydeep Ghosh 36 1 0 01 Apr 2024
DeNetDM: Debiasing by Network Depth Modulation Silpa Vadakkeeveetil Sreelatha Adarsh Kappiyath Anjan Dutta 41 2 1 28 Mar 2024
MedBN: Robust Test-Time Adaptation against Malicious Test Samples Hyejin Park Jeongyeon Hwang Sunung Mun Sangdon Park Jungseul Ok AAML TTA OOD 37 5 0 28 Mar 2024
Looking Beyond What You See: An Empirical Analysis on Subgroup Intersectional Fairness for Multi-label Chest X-ray Classification Using Social Determinants of Racial Health Inequities Dana Moukheiber S. Mahindre L. Moukheiber Mira Moukheiber Mingchen Gao 62 2 0 27 Mar 2024
A Personalized Video-Based Hand Taxonomy: Application for Individuals with Spinal Cord Injury Mehdy Dousty David J. Fleet José Zariffa 16 0 0 26 Mar 2024
Are Compressed Language Models Less Subgroup Robust? Leonidas Gee Andrea Zugarini Novi Quadrianto 33 1 0 26 Mar 2024
Application-Driven Innovation in Machine Learning David Rolnick Alán Aspuru-Guzik Sara Beery B. Dilkina P. Donti ... Hannah Kerner C. Monteleoni Esther Rolf Milind Tambe Adam White 41 8 0 26 Mar 2024
Predictive Inference in Multi-environment Scenarios John C. Duchi Suyash Gupta Kuanhao Jiang Pragya Sur 24 6 0 25 Mar 2024
FairerCLIP: Debiasing CLIP's Zero-Shot Predictions using Functions in RKHSs Sepehr Dehdashtian Lan Wang Vishnu Naresh Boddeti VLM 44 11 0 22 Mar 2024
Controlled Training Data Generation with Diffusion Models Teresa Yeo Andrei Atanov Harold Benoit Aleksandr Alekseev Ruchira Ray Pooya Esmaeil Akhoondi Amir Zamir 47 4 0 22 Mar 2024
On the Detection of Anomalous or Out-Of-Distribution Data in Vision Models Using Statistical Techniques Laura O'Mahony David JP O'Sullivan Nikola S. Nikolov 19 1 0 21 Mar 2024
Improving Generalization via Meta-Learning on Hard Samples Nishant Jain A. Suggala Pradeep Shenoy OOD OffRL 42 2 0 18 Mar 2024
Visualization for Trust in Machine Learning Revisited: The State of the Field in 2023 Angelos Chatzimparmpas Kostiantyn Kucher Andreas Kerren FAtt XAI OOD 24 8 0 18 Mar 2024
Uncertainty-Calibrated Test-Time Model Adaptation without Forgetting Mingkui Tan Guohao Chen Jiaxiang Wu Yifan Zhang Yaofo Chen Peilin Zhao Shuaicheng Niu TTA OOD 39 4 0 18 Mar 2024
Investigating the Benefits of Projection Head for Representation Learning Yihao Xue Eric Gan Jiayi Ni Siddharth Joshi Baharan Mirzasoleiman 49 10 0 18 Mar 2024
Align and Distill: Unifying and Improving Domain Adaptive Object Detection Justin Kay T. Haucke Suzanne Stathatos Siqi Deng Erik Young Pietro Perona Sara Beery Grant Van Horn 59 4 0 18 Mar 2024
Benchmarking Zero-Shot Robustness of Multimodal Foundation Models: A Pilot Study Chenguang Wang Ruoxi Jia Xin Liu Dawn Song VLM 29 7 0 15 Mar 2024
A Decade's Battle on Dataset Bias: Are We There Yet? Zhuang Liu Kaiming He 42 28 0 13 Mar 2024
Proxy Methods for Domain Adaptation Katherine Tsai Stephen R. Pfohl Olawale Salaudeen Nicole Chiou Matt J. Kusner Alexander DÁmour Oluwasanmi Koyejo Arthur Gretton OOD 35 2 0 12 Mar 2024
Bridging Domains with Approximately Shared Features Ziliang Samuel Zhong Xiang Pan Qi Lei OOD 31 1 0 11 Mar 2024
Towards Robust Out-of-Distribution Generalization Bounds via Sharpness Yingtian Zou Kenji Kawaguchi Yingnan Liu Jiashuo Liu M. Lee W. Hsu 50 5 0 11 Mar 2024
Aligners: Decoupling LLMs and Alignment Lilian Ngweta Mayank Agarwal Subha Maity Alex Gittens Yuekai Sun Mikhail Yurochkin 36 1 0 07 Mar 2024
A Survey on Evaluation of Out-of-Distribution Generalization Han Yu Jiashuo Liu Xingxuan Zhang Jiayun Wu Peng Cui OOD 47 8 0 04 Mar 2024
Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium Hyewon Jeong Sarah Jabbour Yuzhe Yang Rahul Thapta Hussein Mozannar ... Linying Zhang Harvineet Singh Tom Hartvigsen Helen Zhou Chinasa T. Okolo VLM AI4TS OOD 43 2 0 03 Mar 2024
Mitigating the Bias in the Model for Continual Test-Time Adaptation Inseop Chung Kyomin Hwang Jayeon Yoo Nojun Kwak TTA 57 0 0 02 Mar 2024
Pairwise Alignment Improves Graph Domain Adaptation Shikun Liu Deyu Zou Han Zhao Pan Li OOD 40 7 0 02 Mar 2024
Spurious Feature Eraser: Stabilizing Test-Time Adaptation for Vision-Language Foundation Model Huan Ma Yan Zhu Changqing Zhang Peilin Zhao Baoyuan Wu Long-Kai Huang Qinghua Hu Bing Wu VLM 69 1 0 01 Mar 2024
Ask Your Distribution Shift if Pre-Training is Right for You Benjamin Cohen-Wang Joshua Vendrow Aleksander Madry OOD 29 3 0 29 Feb 2024
Disentangling the Causes of Plasticity Loss in Neural Networks Clare Lyle Zeyu Zheng Khimya Khetarpal H. V. Hasselt Razvan Pascanu James Martens Will Dabney AI4CE 55 32 0 29 Feb 2024
Towards Robust and Efficient Cloud-Edge Elastic Model Adaptation via Selective Entropy Distillation Yaofo Chen Shuaicheng Niu Yaowei Wang Shoukai Xu Hengjie Song Mingkui Tan 35 6 0 27 Feb 2024
A Comprehensive Review of Machine Learning Advances on Data Change: A Cross-Field Perspective Jeng-Lin Li Chih-Fan Hsu Ming-Ching Chang Wei-Chao Chen OOD 44 2 0 20 Feb 2024
Dynamic Environment Responsive Online Meta-Learning with Fairness Awareness Chengli Zhao Feng Mi Xintao Wu Kai Jiang Latifur Khan Feng Chen 29 5 0 19 Feb 2024
Selective Prediction for Semantic Segmentation using Post-Hoc Confidence Estimation and Its Performance under Distribution Shift Bruno Laboissiere Camargos Borges Bruno Machado Pacheco Danilo Silva 22 0 0 16 Feb 2024
Mind the Modality Gap: Towards a Remote Sensing Vision-Language Model via Cross-modal Alignment Angelos Zavras Dimitrios Michail Begüm Demir Ioannis Papoutsis VLM 35 11 0 15 Feb 2024
Quantified Task Misalignment to Inform PEFT: An Exploration of Domain Generalization and Catastrophic Forgetting in CLIP Laura Niss Kevin Vogt-Lowell Theodoros Tsiligkaridis CLL 35 1 0 14 Feb 2024
Medical Image Segmentation with InTEnt: Integrated Entropy Weighting for Single Image Test-Time Adaptation Haoyu Dong N. Konz Han Gu Maciej Mazurowski OOD 26 4 0 14 Feb 2024
Selective Learning: Towards Robust Calibration with Dynamic Regularization Zongbo Han Yifeng Yang Changqing Zhang Linjun Zhang Qiufeng Wang Qinghua Hu 29 4 0 13 Feb 2024
Active Few-Shot Fine-Tuning Jonas Hübotter Bhavya Sukhija Lenart Treven Yarden As Andreas Krause 45 1 0 13 Feb 2024
Improving Black-box Robustness with In-Context Rewriting Kyle O'Brien Nathan Ng Isha Puri Jorge Mendez Hamid Palangi Yoon Kim Marzyeh Ghassemi Tom Hartvigsen 52 6 0 13 Feb 2024
HYPO: Hyperspherical Out-of-Distribution Generalization Yifei Ming Haoyue Bai Julian Katz-Samuels Yixuan Li OODD OOD 40 9 0 12 Feb 2024
Implicit Bias and Fast Convergence Rates for Self-attention Bhavya Vasudeva Puneesh Deora Christos Thrampoulidis 34 13 0 08 Feb 2024
Assessing the Impact of Distribution Shift on Reinforcement Learning Performance Ted Fujimoto Joshua Suetterlein Samrat Chatterjee A. Ganguly OffRL 30 3 0 05 Feb 2024
Enhancing Compositional Generalization via Compositional Feature Alignment Haoxiang Wang Haozhe Si Huajie Shao Han Zhao 40 1 0 05 Feb 2024
Variance Alignment Score: A Simple But Tough-to-Beat Data Selection Method for Multimodal Contrastive Learning Yiping Wang Yifang Chen Wendan Yan Kevin G. Jamieson S. Du 28 5 0 03 Feb 2024
Cross-modality debiasing: using language to mitigate sub-population shifts in imaging Yijiang Pang Hoang Bao Jiayu Zhou 25 0 0 02 Feb 2024
A survey on robustness in trajectory prediction for autonomous vehicles Jeroen Hagenus Frederik Baymler Mathiesen J. Schumann Arkady Zgonnikov 35 3 0 02 Feb 2024
Supervised Algorithmic Fairness in Distribution Shifts: A Survey Minglai Shao Dong Li Chen Zhao Xintao Wu Yujie Lin Qin Tian OOD 31 8 0 02 Feb 2024
Credal Learning Theory Michele Caprio Maryam Sultana Eleni Elia Fabio Cuzzolin FedML 40 11 0 01 Feb 2024
Good at captioning, bad at counting: Benchmarking GPT-4V on Earth observation data Chenhui Zhang Sherrie Wang 40 20 0 31 Jan 2024
A Survey on Data Augmentation in Large Model Era Yue Zhou Chenlu Guo Xu Wang Yi-Ju Chang Yuan Wu LM&MA VLM 49 23 0 27 Jan 2024