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Poster
Thu 11:00 Energy-based Hopfield Boosting for Out-of-Distribution Detection
Claus Hofmann · Simon Schmid · Bernhard Lehner · Daniel Klotz · Sepp Hochreiter
Poster
Fri 11:00 MultiOOD: Scaling Out-of-Distribution Detection for Multiple Modalities
Hao Dong · Yue Zhao · Eleni Chatzi · Olga Fink
Workshop
Rule Extrapolation in Language Models: A Study of Compositional Generalization on OOD Prompts
Anna Mészáros · Szilvia Ujváry · Wieland Brendel · Patrik Reizinger · Ferenc Huszar
Poster
Fri 11:00 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
Workshop
Antibody DomainBed: Out-of-Distribution Generalization in Therapeutic Protein Design
Nataša Tagasovska · Ji Won Park · Matthieu Kirchmeyer · Nathan Frey · Andrew Watkins · Aya Ismail · Arian Jamasb · Edith Lee · Tyler Bryson · Stephen Ra · Kyunghyun Cho
Poster
Scanning Trojaned Models Using Out-of-Distribution Samples
Hossein Mirzaei · Ali Ansari · Bahar Dibaei Nia · Mojtaba Nafez · Moein Madadi · Sepehr Rezaee · Zeinab Taghavi · Arad Maleki · Kian Shamsaie · Mahdi Hajialilue · Jafar Habibi · Mohammad Sabokrou · Mohammad Hossein Rohban
Workshop
Drift-Resilient TabPFN: In-Context Learning Temporal Distribution Shifts on Tabular Data
David Schnurr · Kai Helli · Noah Hollmann · Samuel Müller · Frank Hutter