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Workshop
Compositional Generalization Across Distributional Shifts with Sparse Tree Operations
Paul Soulos · Henry Conklin · Mattia Opper · Paul Smolensky · Jianfeng Gao · Roland Fernandez
Workshop
Dynamics of Concept Learning and Compositional Generalization
Yongyi Yang · Core Francisco Park · Ekdeep S Lubana · Maya Okawa · Wei Hu · Hidenori Tanaka
Poster
Thu 16:30 EMGBench: Benchmarking Out-of-Distribution Generalization and Adaptation for Electromyography
Jehan Yang · Maxwell Soh · Vivianna Lieu · Douglas Weber · Zackory Erickson
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
Wed 16:30 Near-Optimal Distributionally Robust Reinforcement Learning with General Lp Norms
Pierre Clavier · Laixi Shi · Erwan Le Pennec · Eric Mazumdar · Adam Wierman · Matthieu Geist
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
Workshop
Drift-Resilient TabPFN: In-Context Learning Temporal Distribution Shifts on Tabular Data
David Schnurr · Kai Helli · Noah Hollmann · Samuel Müller · Frank Hutter