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65 Results
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Poster
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Tue 14:00 |
VRL3: A Data-Driven Framework for Visual Deep Reinforcement Learning Che Wang · Xufang Luo · Keith Ross · Dongsheng Li |
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Poster
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Thu 14:00 |
Video PreTraining (VPT): Learning to Act by Watching Unlabeled Online Videos Bowen Baker · Ilge Akkaya · Peter Zhokov · Joost Huizinga · Jie Tang · Adrien Ecoffet · Brandon Houghton · Raul Sampedro · Jeff Clune |
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Poster
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Wed 9:00 |
TransTab: Learning Transferable Tabular Transformers Across Tables Zifeng Wang · Jimeng Sun |
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Poster
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Tue 9:00 |
Quality Not Quantity: On the Interaction between Dataset Design and Robustness of CLIP Thao Nguyen · Gabriel Ilharco · Mitchell Wortsman · Sewoong Oh · Ludwig Schmidt |
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Workshop
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BudgetLongformer: Can we Cheaply Pretrain a SOTA Legal Language Model From Scratch? Joel Niklaus · Daniele Giofrè |
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Workshop
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SMART: Self-supervised Multi-task pretrAining with contRol Transformers Yanchao Sun · shuang ma · Ratnesh Madaan · Rogerio Bonatti · Furong Huang · Ashish Kapoor |
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Workshop
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Adapting Pretrained Vision-Language Foundational Models to Medical Imaging Domains Pierre Chambon · Christian Bluethgen · Curtis Langlotz · Akshay Chaudhari |
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Workshop
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Predicting Immune Escape with Pretrained Protein Language Model Embeddings Kyle Swanson · Howard Chang · James Zou |
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Workshop
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Predicting Ligand – RNA Binding Using E3-Equivariant Network and Pretraining Zhenfeng Deng · Ruichu Gu · Hangrui Bi · Xinyan Wang · Zhaolei Zhang · Han Wen |
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Workshop
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Pretrained protein language model transfer learning: is the final layer representation what we want? Francesca-Zhoufan Li · Ava Soleimany · Kevin Yang · Alex X Lu |
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Workshop
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Downstream Datasets Make Surprisingly Good Pretraining Corpora Kundan Krishna · Saurabh Garg · Jeffrey Bigham · Zachary Lipton |
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Workshop
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An Empirical Study on Clustering Pretrained Embeddings: Is Deep Strictly Better? Tyler Scott · Ting Liu · Michael Mozer · Andrew Gallagher |