Title
Understanding Domain Generalization: A Noise Robustness Perspective Rui Qiao K. H. Low OOD 39 6 0 26 Jan 2024
Digital Divides in Scene Recognition: Uncovering Socioeconomic Biases in Deep Learning Systems Michelle R. Greene Mariam Josyula Wentao Si Jennifer A. Hart 45 0 0 23 Jan 2024
Mitigating Covariate Shift in Misspecified Regression with Applications to Reinforcement Learning P. Amortila Tongyi Cao Akshay Krishnamurthy OffRL OOD 46 2 0 22 Jan 2024
WARM: On the Benefits of Weight Averaged Reward Models Alexandre Ramé Nino Vieillard Léonard Hussenot Robert Dadashi Geoffrey Cideron Olivier Bachem Johan Ferret 120 94 0 22 Jan 2024
The Cadaver in the Machine: The Social Practices of Measurement and Validation in Motion Capture Technology Emma Harvey Hauke Sandhaus Abigail Z. Jacobs Emanuel Moss Mona Sloane 24 3 0 19 Jan 2024
AutoFT: Learning an Objective for Robust Fine-Tuning Caroline Choi Yoonho Lee Annie S. Chen Allan Zhou Aditi Raghunathan Chelsea Finn OOD 52 0 0 18 Jan 2024
Mitigating distribution shift in machine learning-augmented hybrid simulation Jiaxi Zhao Qianxiao Li 33 3 0 17 Jan 2024
Leveraging Gradients for Unsupervised Accuracy Estimation under Distribution Shift Renchunzi Xie Ambroise Odonnat Vasilii Feofanov I. Redko Jianfeng Zhang Bo An UQCV 80 1 0 17 Jan 2024
Structure-based out-of-distribution (OOD) materials property prediction: a benchmark study Sadman Sadeed Omee Nihang Fu Rongzhi Dong Ming Hu Jianjun Hu OOD 31 17 0 16 Jan 2024
Low-Resource Vision Challenges for Foundation Models Yunhua Zhang Hazel Doughty Cees G. M. Snoek VLM 30 5 0 09 Jan 2024
Effective pruning of web-scale datasets based on complexity of concept clusters Amro Abbas E. Rusak Kushal Tirumala Wieland Brendel Kamalika Chaudhuri Ari S. Morcos VLM CLIP 34 22 0 09 Jan 2024
StarCraftImage: A Dataset For Prototyping Spatial Reasoning Methods For Multi-Agent Environments Sean Kulinski Nicholas R. Waytowich James Z. Hare David I. Inouye 28 3 0 09 Jan 2024
Connect Later: Improving Fine-tuning for Robustness with Targeted Augmentations Helen Qu Sang Michael Xie 18 5 0 08 Jan 2024
Prompt-driven Latent Domain Generalization for Medical Image Classification Siyuan Yan Chi Liu Zhen Yu Lie Ju Dwarikanath Mahapatra B. Betz‐Stablein Victoria Mar Monika Janda Peter Soyer Zongyuan Ge OOD VLM MedIm 35 7 0 05 Jan 2024
SUDO: a framework for evaluating clinical artificial intelligence systems without ground-truth annotations Dani Kiyasseh Aaron Cohen Chengsheng Jiang Nicholas Altieri SyDa 64 10 0 02 Jan 2024
Bringing Back the Context: Camera Trap Species Identification as Link Prediction on Multimodal Knowledge Graphs Vardaan Pahuja Weidi Luo Yu Gu Cheng-Hao Tu Hong-You Chen Tanya Berger-Wolf Charles V. Stewart Song Gao Wei-Lun Chao Yu-Chuan Su 36 2 0 31 Dec 2023
Out of the Ordinary: Spectrally Adapting Regression for Covariate Shift Benjamin Eyre Elliot Creager David Madras Antonio Torralba Katherine Heller OOD OODD 40 1 0 29 Dec 2023
Unraveling the Key Components of OOD Generalization via Diversification Harold Benoit Liangze Jiang Andrei Atanov Ouguzhan Fatih Kar Mattia Rigotti Amir Zamir CML 31 2 0 26 Dec 2023
On the Benefits of Public Representations for Private Transfer Learning under Distribution Shift Pratiksha Thaker Amrith Rajagopal Setlur Zhiwei Steven Wu Virginia Smith 44 2 0 24 Dec 2023
Invariant Anomaly Detection under Distribution Shifts: A Causal Perspective João B. S. Carvalho Mengtao Zhang Robin Geyer C. Jiménez J. M. Buhmann 23 5 0 21 Dec 2023
RadEdit: stress-testing biomedical vision models via diffusion image editing Fernando Pérez-García Sam Bond-Taylor Pedro P. Sanchez B. V. Breugel Daniel Coelho De Castro ... M. Lungren A. Nori Javier Alvarez-Valle Ozan Oktay Maximilian Ilse MedIm 43 8 0 20 Dec 2023
Graph Invariant Learning with Subgraph Co-mixup for Out-Of-Distribution Generalization Tianrui Jia Haoyang Li Cheng Yang Tao Tao Chuan Shi OOD 37 17 0 18 Dec 2023
RetroOOD: Understanding Out-of-Distribution Generalization in Retrosynthesis Prediction Yemin Yu Luotian Yuan Ying Wei Hanyu Gao Xinhai Ye Zhihua Wang Fei Wu OOD 34 3 0 18 Dec 2023
Test-Time Domain Adaptation by Learning Domain-Aware Batch Normalization Yanan Wu Zhixiang Chi Yang Wang Konstantinos N. Plataniotis Songhe Feng OOD 21 17 0 15 Dec 2023
Towards Context-Aware Domain Generalization: Understanding the Benefits and Limits of Marginal Transfer Learning Jens Müller Lars Kühmichel Martin Rohbeck Stefan T. Radev Ullrich Kothe OOD 40 0 0 15 Dec 2023
Reliability in Semantic Segmentation: Can We Use Synthetic Data? Thibaut Loiseau Tuan-Hung Vu Mickaël Chen Patrick Pérez Matthieu Cord UQCV 34 12 0 14 Dec 2023
Estimating calibration error under label shift without labels Teodora Popordanoska Gorjan Radevski Tinne Tuytelaars Matthew B. Blaschko 19 1 0 14 Dec 2023
Generalizable Sleep Staging via Multi-Level Domain Alignment Jiquan Wang Sha Zhao Haiteng Jiang Shijian Li Tao Li Gang Pan 47 9 0 13 Dec 2023
BIRB: A Generalization Benchmark for Information Retrieval in Bioacoustics Jenny Hamer Eleni Triantafillou B. V. Merrienboer Stefan Kahl Holger Klinck Tom Denton Vincent Dumoulin 44 14 0 12 Dec 2023
The Limits of Fair Medical Imaging AI In The Wild Yuzhe Yang Haoran Zhang Judy W. Gichoya Dina Katabi Marzyeh Ghassemi 28 6 0 11 Dec 2023
Benchmarking Distribution Shift in Tabular Data with TableShift Josh Gardner Zoran Popovic Ludwig Schmidt OOD 24 32 0 10 Dec 2023
Better, Not Just More: Data-Centric Machine Learning for Earth Observation R. Roscher M. Rußwurm Caroline Gevaert Michael C. Kampffmeyer J. A. dos Santos ... Ronny Hansch Stine Hansen Keiller Nogueira Jonathan Prexl D. Tuia 34 10 0 08 Dec 2023
Error Discovery by Clustering Influence Embeddings Fulton Wang Julius Adebayo Sarah Tan Diego Garcia-Olano Narine Kokhlikyan 21 3 0 07 Dec 2023
Domain constraints improve risk prediction when outcome data is missing S. Balachandar Nikhil Garg Emma Pierson CML OOD 26 7 0 06 Dec 2023
Data-Centric Digital Agriculture: A Perspective R. Roscher Lukas Roth C. Stachniss Achim Walter 15 2 0 06 Dec 2023
Complementary Benefits of Contrastive Learning and Self-Training Under Distribution Shift Saurabh Garg Amrith Rajagopal Setlur Zachary Chase Lipton Sivaraman Balakrishnan Virginia Smith Aditi Raghunathan SSL 30 6 0 06 Dec 2023
Multitask Learning Can Improve Worst-Group Outcomes Atharva Kulkarni Lucio Dery Amrith Rajagopal Setlur Aditi Raghunathan Ameet Talwalkar Graham Neubig 37 1 0 05 Dec 2023
Describing Differences in Image Sets with Natural Language Lisa Dunlap Yuhui Zhang Xiaohan Wang Ruiqi Zhong Trevor Darrell Jacob Steinhardt Joseph E. Gonzalez Serena Yeung-Levy CoGe VLM 32 30 0 05 Dec 2023
Wild-Tab: A Benchmark For Out-Of-Distribution Generalization In Tabular Regression Sergey Kolesnikov CML OOD 17 4 0 04 Dec 2023
REDUCR: Robust Data Downsampling Using Class Priority Reweighting William Bankes George Hughes Ilija Bogunovic Zi Wang 34 3 0 01 Dec 2023
Geometry-Aware Normalizing Wasserstein Flows for Optimal Causal Inference Kaiwen Hou 37 0 0 30 Nov 2023
Diffusion-TTA: Test-time Adaptation of Discriminative Models via Generative Feedback Mihir Prabhudesai Tsung-Wei Ke Alexander C. Li Deepak Pathak Katerina Fragkiadaki TTA 32 15 0 27 Nov 2023
RankFeat&RankWeight: Rank-1 Feature/Weight Removal for Out-of-distribution Detection Yue Song N. Sebe Wei Wang OODD 38 1 0 23 Nov 2023
Algorithmic Fairness Generalization under Covariate and Dependence Shifts Simultaneously Chengli Zhao Kai Jiang Xintao Wu Haoliang Wang Latifur Khan Christan Earl Grant Feng Chen OOD 29 4 0 23 Nov 2023
DMLR: Data-centric Machine Learning Research -- Past, Present and Future Luis Oala M. Maskey Lilith Bat-Leah Alicia Parrish Nezihe Merve Gürel ... Lora Aroyo Ce Zhang Joaquin Vanschoren Isabelle Guyon Peter Mattson AI4CE 39 11 0 21 Nov 2023
Learning Causal Representations from General Environments: Identifiability and Intrinsic Ambiguity Jikai Jin Vasilis Syrgkanis CML 30 5 0 21 Nov 2023
Adaptive Training Distributions with Scalable Online Bilevel Optimization David Grangier Pierre Ablin Awni Y. Hannun 27 10 0 20 Nov 2023
Geometric Data Augmentations to Mitigate Distribution Shifts in Pollen Classification from Microscopic Images Nam Cao O. Saukh 29 2 0 18 Nov 2023
RED-DOT: Multimodal Fact-checking via Relevant Evidence Detection Stefanos-Iordanis Papadopoulos C. Koutlis Symeon Papadopoulos P. Petrantonakis 24 9 0 16 Nov 2023
Data Similarity is Not Enough to Explain Language Model Performance Gregory Yauney Emily Reif David M. Mimno 45 6 0 15 Nov 2023