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Poster
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Wed 15:00
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ATTA: Anomaly-aware Test-Time Adaptation for Out-of-Distribution Detection in Segmentation
Zhitong Gao · Shipeng Yan · Xuming He
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Workshop
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Multimodal base distributions for continuous-time normalising flows
Shane Josias · Willie Brink
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Workshop
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Understanding Insect Range Shifts with Out-of-distribution Detection
Yuyan Chen · David Rolnick
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Poster
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Wed 8:45
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On the Adversarial Robustness of Out-of-distribution Generalization Models
Xin Zou · Weiwei Liu
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Poster
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Wed 15:00
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VRA: Variational Rectified Activation for Out-of-distribution Detection
Mingyu Xu · Zheng Lian · Bin Liu · Jianhua Tao
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Poster
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Thu 8:45
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Distilling Out-of-Distribution Robustness from Vision-Language Foundation Models
Andy Zhou · Jindong Wang · Yu-Xiong Wang · Haohan Wang
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Poster
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Tue 8:45
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LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning
Atsuyuki Miyai · Qing Yu · Go Irie · Kiyoharu Aizawa
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Workshop
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Deep PDE Solvers for Subgrid Modelling and Out-of-Distribution Generalization
Patrick Chatain · Adam Oberman
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Workshop
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TrustAffinity: accurate, reliable and scalable out-of-distribution protein-ligand binding affinity prediction using trustworthy deep learning
Amitesh Badkul · Li Xie · Shuo Zhang · Lei Xie
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Workshop
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Towards out-of-distribution generalization: robust networks learn similar representations
Yash Gondhalekar · Sultan Hassan · Naomi Saphra · Sambatra Andrianomena
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Poster
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Thu 8:45
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Diversify \& Conquer: Outcome-directed Curriculum RL via Out-of-Distribution Disagreement
Daesol Cho · Seungjae Lee · H. Jin Kim
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Poster
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Thu 8:45
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Not All Out-of-Distribution Data Are Harmful to Open-Set Active Learning
Yang Yang · Yuxuan Zhang · XIN SONG · Yi Xu
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