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Poster
Thu 2:30 Split-Ensemble: Efficient OOD-aware Ensemble via Task and Model Splitting
Anthony Chen · Huanrui Yang · Yulu Gan · Denis Gudovskiy · Zhen Dong · Haofan Wang · Tomoyuki Okuno · Yohei Nakata · EECS Kurt Keutzer · Shanghang Zhang
Poster
Thu 4:30 A Geometric Explanation of the Likelihood OOD Detection Paradox
Hamidreza Kamkari · Brendan Ross · Jesse Cresswell · Anthony Caterini · Rahul G. Krishnan · Gabriel Loaiza-Ganem
Poster
Thu 4:30 CRoFT: Robust Fine-Tuning with Concurrent Optimization for OOD Generalization and Open-Set OOD Detection
Lin Zhu · Yifeng Yang · Qinying Gu · Xinbing Wang · Chenghu Zhou · Nanyang Ye
Workshop
Accuracy on the wrong line: On the pitfalls of noisy data for OOD generalisation
Amartya Sanyal · Yaxi Hu · Yaodong Yu · Yian Ma · Yixin Wang · Bernhard Schölkopf
Workshop
Energy-based Hopfield Boosting for Out-of-Distribution Detection
Claus Hofmann · Simon Schmid · Bernhard Lehner · Daniel Klotz · Sepp Hochreiter
Workshop
BUILD: Buffer-free Incremental Learning with OOD Detection for the Wild
Srishti Gupta · Daniele Angioni · Lea Schönherr · Ambra Demontis · Battista Biggio
Workshop
Unveiling CLIP Dynamics: Linear Mode Connectivity and Generalization
Alireza Abdollahpourrostam · Amartya Sanyal · Seyed-Mohsen Moosavi-Dezfooli
Workshop
In Search of Forgotten Domain Generalization
Prasanna Mayilvahanan · Roland S. Zimmermann · Thaddäus Wiedemer · Evgenia Rusak · Attila Juhos · Matthias Bethge · Wieland Brendel
Workshop
Deciphering the Definition of Adversarial Robustness for post-hoc OOD Detectors
Peter Lorenz · Mario Fernandez · Jens Müller · Ullrich Koethe
Oral Session
Thu 1:30 Oral 5E Distribution Shift and OOD
Workshop
Energy-based Hopfield Boosting for Out-of-Distribution Detection
Claus Hofmann · Simon Schmid · Bernhard Lehner · Daniel Klotz · Sepp Hochreiter