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Poster
Fri 11:00 Adaptive Labeling for Efficient Out-of-distribution Model Evaluation
Daksh Mittal · Yuanzhe Ma · Shalmali Joshi · Hongseok Namkoong
Poster
Thu 16:30 EMGBench: Benchmarking Out-of-Distribution Generalization and Adaptation for Electromyography
Jehan Yang · Maxwell Soh · Vivianna Lieu · Douglas Weber · Zackory Erickson
Affinity Event
Known Unknowns: Out-of-Distribution Property Prediction in Materials
Nofit Segal · Aviv Netanyahu · Rafael Gomez-Bombarelli · Pulkit Agrawal
Poster
Wed 16:30 Vision Transformer Neural Architecture Search for Out-of-Distribution Generalization: Benchmark and Insights
Sy-Tuyen Ho · Tuan Van Vo · Somayeh Ebrahimkhani · Ngai-Man (Man) Cheung
Workshop
Benign Overfitting in Out-of-Distribution Generalization of Linear Models
Shange Tang · Jiayun Wu · Jianqing Fan · Chi Jin
Workshop
Known Unknowns: Out-of-Distribution Property Prediction in Materials
Nofit Segal · Aviv Netanyahu · Rafael Gomez-Bombarelli · Pulkit Agrawal
Poster
Fri 16:30 TAIA: Large Language Models are Out-of-Distribution Data Learners
Shuyang Jiang · Yusheng Liao · Ya Zhang · Yanfeng Wang · Yu Wang
Poster
Thu 16:30 PURE: Prompt Evolution with Graph ODE for Out-of-distribution Fluid Dynamics Modeling
Hao Wu · Changhu Wang · Fan Xu · Jinbao Xue · Chong Chen · Xian-Sheng Hua · Xiao Luo
Poster
Thu 11:00 Neural Collapse Inspired Feature Alignment for Out-of-Distribution Generalization
Zhikang Chen · Min Zhang · Sen Cui · Haoxuan Li · Gang Niu · Mingming Gong · Changshui Zhang · Kun Zhang
Workshop
Unlearning in- vs. out-of-distribution data in LLMs under gradient-based methods
Teodora Baluta · Gintare Karolina Dziugaite · Pascal Lamblin · Fabian Pedregosa · Danny Tarlow
Affinity Event
Out-of-Distribution performance as a proxy metric for graph neural network explainers in the absence of ground-truth explanations
Guadalupe Gonzalez · Chirag Agarwal · Siddharth Betala
Workshop
Improving out-of-distribution generalization by mimicking the human visual diet.
Spandan Madan · You Li · Mengmi Zhang · Hanspeter Pfister · Gabriel Kreiman