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Poster
Thu 9:00 Pre-Train Your Loss: Easy Bayesian Transfer Learning with Informative Priors
Ravid Shwartz-Ziv · Micah Goldblum · Hossein Souri · Sanyam Kapoor · Chen Zhu · Yann LeCun · Andrew Wilson
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
Poster
Wed 14:00 MoCapAct: A Multi-Task Dataset for Simulated Humanoid Control
Nolan Wagener · Andrey Kolobov · Felipe Vieira Frujeri · Ricky Loynd · Ching-An Cheng · Matthew Hausknecht
Poster
Tue 9:00 Learning Generalized Policy Automata for Relational Stochastic Shortest Path Problems
Rushang Karia · Rashmeet Kaur Nayyar · Siddharth Srivastava
Poster
Tue 9:00 Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution
Leon Hetzel · Simon Boehm · Niki Kilbertus · Stephan Günnemann · mohammad lotfollahi · Fabian Theis
Poster
Tue 14:00 Learning Dynamical Systems via Koopman Operator Regression in Reproducing Kernel Hilbert Spaces
Vladimir Kostic · Pietro Novelli · Andreas Maurer · Carlo Ciliberto · Lorenzo Rosasco · Massimiliano Pontil
Poster
Tue 14:00 Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency
Xiang Zhang · Ziyuan Zhao · Theodoros Tsiligkaridis · Marinka Zitnik
Poster
Thu 14:00 Diagnosing failures of fairness transfer across distribution shift in real-world medical settings
Jessica Schrouff · Natalie Harris · Sanmi Koyejo · Ibrahim Alabdulmohsin · Eva Schnider · Krista Opsahl-Ong · Alexander Brown · Subhrajit Roy · Diana Mincu · Christina Chen · Awa Dieng · Yuan Liu · Vivek Natarajan · Alan Karthikesalingam · Katherine Heller · Silvia Chiappa · Alexander D'Amour
Workshop
Knowledge-Guided Transfer Learning for Modeling Subsurface Phenomena Under Data Paucity
Nikhil Muralidhar · NIcholas Lubbers · Mohamed Mehana · Naren Ramakrishnan · Anuj Karpatne
Poster
Thu 14:00 K-LITE: Learning Transferable Visual Models with External Knowledge
Sheng Shen · Chunyuan Li · Xiaowei Hu · Yujia Xie · Jianwei Yang · Pengchuan Zhang · Zhe Gan · Lijuan Wang · Lu Yuan · Ce Liu · Kurt Keutzer · Trevor Darrell · Anna Rohrbach · Jianfeng Gao
Poster
Thu 9:00 Assaying Out-Of-Distribution Generalization in Transfer Learning
Florian Wenzel · Andrea Dittadi · Peter Gehler · Carl-Johann Simon-Gabriel · Max Horn · Dominik Zietlow · David Kernert · Chris Russell · Thomas Brox · Bernt Schiele · Bernhard Schölkopf · Francesco Locatello
Workshop
MoleculeCLIP: Learning Transferable Molecule Multi-Modality Models via Natural Language
Shengchao Liu · Weili Nie · Chengpeng Wang · Jiarui Lu · Zhuoran Qiao · Ling Liu · Jian Tang · Anima Anandkumar · Chaowei Xiao