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Poster
Wed 17:00 On the Critical Role of Conventions in Adaptive Human-AI Collaboration
Andy Shih · Arjun Sawhney · Jovana Kondic · Stefano Ermon · Dorsa Sadigh
Poster
Thu 9:00 Variational Information Bottleneck for Effective Low-Resource Fine-Tuning
Rabeeh Karimi Mahabadi · Yonatan Belinkov · James Henderson
Poster
Mon 9:00 On the Stability of Fine-tuning BERT: Misconceptions, Explanations, and Strong Baselines
Marius Mosbach · Maksym Andriushchenko · Dietrich Klakow
Poster
Mon 1:00 Scalable Transfer Learning with Expert Models
Joan Puigcerver i Perez · Carlos Riquelme · Basil Mustafa · Cedric Renggli · André Susano Pinto · Sylvain Gelly · Daniel Keysers · Neil Houlsby
Poster
Thu 9:00 A Mathematical Exploration of Why Language Models Help Solve Downstream Tasks
Nikunj Umesh Saunshi · Sadhika Malladi · Sanjeev Arora
Poster
Mon 17:00 Self-training For Few-shot Transfer Across Extreme Task Differences
Cheng Perng Phoo · Bharath Hariharan
Workshop
Fri 7:06 Poster Spotlight "Width transfer: on the (in)variance of width optimization"
Ting-Wu Chin
Workshop
Fri 6:14 Density Approximation in Deep Generative Models with Kernel Transfer Operators
Zhichun Huang
Workshop
Fast Inference and Transfer of Compositional Task Structure for Few-shot Task Generalization
Sungryull Sohn · Hyunjae Woo · Jongwook Choi · Izzeddin Gur · Aleksandra Faust · Honglak Lee
Poster
Mon 9:00 Off-Dynamics Reinforcement Learning: Training for Transfer with Domain Classifiers
Benjamin Eysenbach · Shreyas Chaudhari · Swapnil Asawa · Sergey Levine · Ruslan Salakhutdinov