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Poster
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Thu 11:00
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Self-Calibrated Tuning of Vision-Language Models for Out-of-Distribution Detection
Geng Yu · Jianing Zhu · Jiangchao Yao · Bo Han
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Poster
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Fri 16:30
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TAIA: Large Language Models are Out-of-Distribution Data Learners
Shuyang Jiang · Yusheng Liao · Ya Zhang · Yanfeng Wang · Yu Wang
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Poster
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Fri 11:00
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What Variables Affect Out-of-Distribution Generalization in Pretrained Models?
Md Yousuf Harun · Kyungbok Lee · Gianmarco Gallardo · Giri Krishnan · Christopher Kanan
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Workshop
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Sun 12:25
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A Large Foundation Model for Assessing Spatially Distributed Personality Traits
Avi Bleiweiss
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Poster
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Thu 16:30
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Out-of-Distribution Detection with a Single Unconditional Diffusion Model
Alvin Heng · alexandre thiery · Harold Soh
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Poster
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Fri 11:00
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Adaptive Labeling for Efficient Out-of-distribution Model Evaluation
Daksh Mittal · Yuanzhe Ma · Shalmali Joshi · Hongseok Namkoong
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Poster
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Wed 16:30
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SeTAR: Out-of-Distribution Detection with Selective Low-Rank Approximation
Yixia Li · Boya Xiong · Guanhua Chen · Yun Chen
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Poster
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Thu 16:30
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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
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Poster
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Fri 11:00
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Benchmarking Out-of-Distribution Generalization Capabilities of DNN-based Encoding Models for the Ventral Visual Cortex.
Spandan Madan · Will Xiao · Mingran Cao · Hanspeter Pfister · Margaret Livingstone · Gabriel Kreiman
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Workshop
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NODE-GAMLSS: Interpretable Uncertainty Modelling via Deep Distributional Regression
Ananyapam De · Anton Thielmann · Benjamin Säfken
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Workshop
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Benign Overfitting in Out-of-Distribution Generalization of Linear Models
Shange Tang · Jiayun Wu · Jianqing Fan · Chi Jin
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Workshop
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Rule Extrapolation in Language Models: A Study of Compositional Generalization on OOD Prompts
Anna Mészáros · Szilvia Ujváry · Wieland Brendel · Patrik Reizinger · Ferenc Huszar
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