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Workshop
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Fri 10:51
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"Bias and Generalization of Deep Generative Models" by Stefano Ermon, Stanford University
Stefano Ermon
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Poster
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Wed 9:00
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Learning Task-General Representations with Generative Neuro-Symbolic Modeling
Reuben Feinman · Brenden Lake
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Poster
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Mon 17:00
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Incorporating Symmetry into Deep Dynamics Models for Improved Generalization
Rui Wang · Robin Walters · Rose Yu
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Poster
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Tue 1:00
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Learning Incompressible Fluid Dynamics from Scratch - Towards Fast, Differentiable Fluid Models that Generalize
Nils Wandel · Michael Weinmann · Reinhard Klein
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Spotlight
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Tue 5:18
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Learning Incompressible Fluid Dynamics from Scratch - Towards Fast, Differentiable Fluid Models that Generalize
Nils Wandel · Michael Weinmann · Reinhard Klein
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Poster
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Tue 9:00
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Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning
Beliz Gunel · Jingfei Du · Alexis Conneau · Veselin Stoyanov
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Poster
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Mon 17:00
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Tilted Empirical Risk Minimization
Tian Li · Ahmad Beirami · Maziar Sanjabi · Virginia Smith
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Poster
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Mon 17:00
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Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images
Rewon Child
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Poster
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Tue 1:00
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Generalized Energy Based Models
Michael Arbel · Liang Zhou · Arthur Gretton
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Spotlight
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Mon 12:55
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Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images
Rewon Child
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Poster
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Mon 9:00
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The role of Disentanglement in Generalisation
Milton Montero · Casimir JH Ludwig · Rui Ponte Costa · Gaurav Malhotra · Jeffrey Bowers
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Poster
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Thu 9:00
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Learning to Recombine and Resample Data For Compositional Generalization
Ekin Akyürek · Afra Feyza Akyürek · Jacob Andreas
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