Title
On the Usage of Continual Learning for Out-of-Distribution Generalization in Pre-trained Language Models of Code Martin Weyssow Xin Zhou Kisub Kim David Lo H. Sahraoui CLL KELM 53 10 0 06 May 2023
A Survey on Out-of-Distribution Detection in NLP Hao Lang Yinhe Zheng Yixuan Li Jian Sun Feiling Huang Yongbin Li 29 20 0 05 May 2023
Accuracy on the Curve: On the Nonlinear Correlation of ML Performance Between Data Subpopulations Weixin Liang Yining Mao Yongchan Kwon Xinyu Yang James Zou OODD 42 3 0 04 May 2023
MaskSearch: Querying Image Masks at Scale Dong He Jieyu Zhang Maureen Daum Alexander Ratner Magdalena Balazinska VLM 34 2 0 03 May 2023
Robot Goes Fishing: Rapid, High-Resolution Biological Hotspot Mapping in Coral Reefs with Vision-Guided Autonomous Underwater Vehicles Daniel Yang Levi Cai Stewart Jamieson Yogesh A. Girdhar 9 0 0 03 May 2023
Post-Abstention: Towards Reliably Re-Attempting the Abstained Instances in QA Neeraj Varshney Chitta Baral 39 13 0 02 May 2023
Great Models Think Alike: Improving Model Reliability via Inter-Model Latent Agreement Ailin Deng Miao Xiong Bryan Hooi 44 6 0 02 May 2023
PGrad: Learning Principal Gradients For Domain Generalization Zhe Wang J. E. Grigsby Yanjun Qi OOD 29 10 0 02 May 2023
Discover and Cure: Concept-aware Mitigation of Spurious Correlation Shirley Wu Mert Yuksekgonul Linjun Zhang James Zou 82 56 0 01 May 2023
Defining Replicability of Prediction Rules Giovanni Parmigiani AI4CE 14 2 0 30 Apr 2023
Learning to Extrapolate: A Transductive Approach Aviv Netanyahu Abhishek Gupta Max Simchowitz Kaipeng Zhang Pulkit Agrawal 49 15 0 27 Apr 2023
VERITE: A Robust Benchmark for Multimodal Misinformation Detection Accounting for Unimodal Bias Stefanos-Iordanis Papadopoulos C. Koutlis Symeon Papadopoulos P. Petrantonakis 80 19 0 27 Apr 2023
DataComp: In search of the next generation of multimodal datasets S. Gadre Gabriel Ilharco Alex Fang J. Hayase Georgios Smyrnis ... A. Dimakis J. Jitsev Y. Carmon Vaishaal Shankar Ludwig Schmidt VLM 30 413 0 27 Apr 2023
ZRG: A Dataset for Multimodal 3D Residential Rooftop Understanding Isaac Corley Jonathan Lwowski Peyman Najafirad 33 0 0 26 Apr 2023
Benchmarking Low-Shot Robustness to Natural Distribution Shifts Aaditya K. Singh Kartik Sarangmath Prithvijit Chattopadhyay Judy Hoffman OOD 44 1 0 21 Apr 2023
An Unbiased Transformer Source Code Learning with Semantic Vulnerability Graph Nafis Tanveer Islam G. Parra Dylan Manuel E. Bou-Harb Peyman Najafirad 28 8 0 17 Apr 2023
OOD-CV-v2: An extended Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images Bingchen Zhao Jiahao Wang Wufei Ma Artur Jesslen Si-Jia Yang Shaozuo Yu O. Zendel Christian Theobalt Alan Yuille Adam Kortylewski 37 8 0 17 Apr 2023
BenchMD: A Benchmark for Unified Learning on Medical Images and Sensors Kathryn Wantlin Chenwei Wu Shih-Cheng Huang Oishi Banerjee Farah Z. Dadabhoy ... A. Adamson Laura Heacock G. Tison Alex Tamkin Pranav Rajpurkar SSL OOD 46 2 0 17 Apr 2023
Leveraging sparse and shared feature activations for disentangled representation learning Marco Fumero F. Wenzel L. Zancato Alessandro Achille Emanuele Rodolà Stefano Soatto Bernhard Schölkopf Francesco Locatello OOD DRL 42 22 0 17 Apr 2023
Angler: Helping Machine Translation Practitioners Prioritize Model Improvements Samantha Robertson Zijie J. Wang Dominik Moritz Mary Beth Kery Fred Hohman 38 15 0 12 Apr 2023
Improved Test-Time Adaptation for Domain Generalization Liang Chen Yong Zhang Yibing Song Ying Shan Lingqiao Liu TTA OOD 27 46 0 10 Apr 2023
Reweighted Mixup for Subpopulation Shift Zongbo Han Zhipeng Liang Fan Yang Liu Liu Lanqing Li ... P. Zhao Qinghua Hu Bing Wu Changqing Zhang Jianhua Yao 37 3 0 09 Apr 2023
Mitigating Spurious Correlations in Multi-modal Models during Fine-tuning Yu Yang Besmira Nushi Hamid Palangi Baharan Mirzasoleiman 39 36 0 08 Apr 2023
ASPEST: Bridging the Gap Between Active Learning and Selective Prediction Jiefeng Chen Jinsung Yoon Sayna Ebrahimi Sercan Ö. Arik S. Jha Tomas Pfister 36 1 0 07 Apr 2023
Beyond Privacy: Navigating the Opportunities and Challenges of Synthetic Data B. V. Breugel M. Schaar 19 26 0 07 Apr 2023
Supervised Contrastive Learning with Heterogeneous Similarity for Distribution Shifts Takuro Kutsuna 27 1 0 07 Apr 2023
Benchmarking Robustness to Text-Guided Corruptions Mohammadreza Mofayezi Yasamin Medghalchi DiffM VLM 32 3 0 06 Apr 2023
ERM++: An Improved Baseline for Domain Generalization Piotr Teterwak Kuniaki Saito Theodoros Tsiligkaridis Kate Saenko Bryan A. Plummer OOD 44 9 0 04 Apr 2023
Evaluation Challenges for Geospatial ML Esther Rolf ELM 20 10 0 31 Mar 2023
Mitigating Source Bias for Fairer Weak Supervision Changho Shin Sonia Cromp Dyah Adila Frederic Sala 29 2 0 30 Mar 2023
Are Data-driven Explanations Robust against Out-of-distribution Data? Tang Li Fengchun Qiao Mengmeng Ma Xiangkai Peng OODD OOD 33 10 0 29 Mar 2023
Automated wildlife image classification: An active learning tool for ecological applications Ludwig Bothmann Lisa Wimmer Omid Charrakh Tobias Weber Hendrik Edelhoff W. Peters Hien Nguyen C. Benjamin A. Menzel VLM 30 21 0 28 Mar 2023
Anomaly Detection under Distribution Shift T. Cao Jiawen Zhu Guansong Pang 48 26 0 24 Mar 2023
Noisy recovery from random linear observations: Sharp minimax rates under elliptical constraints Reese Pathak Martin J. Wainwright Lin Xiao 36 5 0 22 Mar 2023
Data-centric Artificial Intelligence: A Survey Daochen Zha Zaid Pervaiz Bhat Kwei-Herng Lai Fan Yang Zhimeng Jiang Shaochen Zhong Xia Hu 27 192 0 17 Mar 2023
Finding Competence Regions in Domain Generalization Jens Müller Stefan T. Radev R. Schmier Felix Dräxler Carsten Rother Ullrich Kothe 27 4 0 17 Mar 2023
Unsupervised domain adaptation by learning using privileged information Adam Breitholtz Anton Matsson Fredrik D. Johansson OOD 27 2 0 16 Mar 2023
Domain Generalization via Nuclear Norm Regularization Zhenmei Shi Yifei Ming Ying Fan Frederic Sala Yingyu Liang 30 12 0 13 Mar 2023
Domain Generalization in Machine Learning Models for Wireless Communications: Concepts, State-of-the-Art, and Open Issues Mohamed Akrout Amal Feriani F. Bellili A. Mezghani Ekram Hossain OOD AI4CE 37 27 0 13 Mar 2023
Towards domain-invariant Self-Supervised Learning with Batch Styles Standardization Marin Scalbert Maria Vakalopoulou Florent Couzinié-Devy 21 2 0 10 Mar 2023
Distributionally Robust Optimization with Probabilistic Group Soumya Suvra Ghosal Yixuan Li OOD 13 7 0 10 Mar 2023
Training, Architecture, and Prior for Deterministic Uncertainty Methods Bertrand Charpentier Chenxiang Zhang Stephan Günnemann UQCV OOD AI4CE 34 6 0 10 Mar 2023
Designing Ocean Vision AI: An Investigation of Community Needs for Imaging-based Ocean Conservation A. Crosby E. Orenstein Susan E. Poulton K. L. Bell Benjamin Woodward H. Ruhl K. Katija A. Forbes 9 10 0 09 Mar 2023
Spawrious: A Benchmark for Fine Control of Spurious Correlation Biases Aengus Lynch G. Dovonon Jean Kaddour Ricardo M. A. Silva 202 30 0 09 Mar 2023
Adaptive Calibrator Ensemble for Model Calibration under Distribution Shift Yu-Hui Zou Weijian Deng Liang Zheng OODD 22 2 0 09 Mar 2023
Deep Hypothesis Tests Detect Clinically Relevant Subgroup Shifts in Medical Images Lisa M. Koch C. M. Schurch Christian F. Baumgartner Arthur Gretton Philipp Berens OOD 29 1 0 08 Mar 2023
A Challenging Benchmark for Low-Resource Learning Yudong Wang Chang Ma Qingxiu Dong Lingpeng Kong Jingjing Xu 64 3 0 07 Mar 2023
What Is Missing in IRM Training and Evaluation? Challenges and Solutions Yihua Zhang Pranay Sharma Parikshit Ram Min-Fong Hong Kush R. Varshney Sijia Liu 34 11 0 04 Mar 2023
Domain adaptation using optimal transport for invariant learning using histopathology datasets Kianoush Falahkheirkhah Alex X. Lu David Alvarez-Melis G. Huynh OOD MedIm 30 4 0 03 Mar 2023
Diagnosing Model Performance Under Distribution Shift Tiffany Cai Hongseok Namkoong Steve Yadlowsky 37 27 0 03 Mar 2023