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Workshop
A General-Purpose Neural Architecture for Geospatial Systems
Martin Weiss · Nasim Rahaman · Frederik Träuble · Francesco Locatello · Alexandre Lacoste · Yoshua Bengio · Erran Li Li · Chris Pal · Bernhard Schölkopf
Workshop
NCVX: A General-Purpose Optimization Solver for Constrained Machine and Deep Learning
Buyun Liang · Tim Mitchell · Ju Sun
Workshop
Meta-Learning General-Purpose Learning Algorithms with Transformers
Louis Kirsch · Luke Metz · James Harrison · Jascha Sohl-Dickstein
Workshop
Sat 7:35 Spotlight Talk - A General-Purpose Neural Architecture for Geospatial Systems
Martin Weiss
Workshop
Meta-Learning General-Purpose Learning Algorithms with Transformers
Louis Kirsch · Luke Metz · James Harrison · Jascha Sohl-Dickstein
Workshop
Privacy Aware Experimentation over Sensitive Groups: A General Chi Square Approach
Rina Friedberg · Ryan Rogers
Workshop
Fri 7:48 Sim-to-Lab-to-Real: Safe Reinforcement Learning with Shielding and Generalization Guarantees
Kai-Chieh Hsu · Allen Z. Ren · Duy Nguyen · Anirudha Majumdar · Jaime Fisac
Workshop
Sat 7:05 Karthik Narasimhan: Semantic Supervision for few-shot generalization and personalization
Karthik Narasimhan
Workshop
Compositional Task Generalization with Modular Successor Feature Approximators
Wilka Carvalho Carvalho
Workshop
Relational Out-of-Distribution Generalization
Xinyu Yang · Xinyi Pan · Shengchao Liu · Huaxiu Yao
Workshop
Domain-Adjusted Regression or: ERM May Already Learn Features Sufficient for Out-of-Distribution Generalization
Elan Rosenfeld · Pradeep Ravikumar · Andrej Risteski
Workshop
Sat 13:10 Domain-Adjusted Regression or: ERM May Already Learn Features Sufficient for Out-of-Distribution Generalization
Elan Rosenfeld · Pradeep Ravikumar · Andrej Risteski