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Spotlight
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Mon 10:30 |
The Inductive Bias of In-Context Learning: Rethinking Pretraining Example Design Yoav Levine · Noam Wies · Daniel Jannai · Dan Navon · Yedid Hoshen · Amnon Shashua |
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Poster
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Thu 10:30 |
Attention-based Interpretability with Concept Transformers Mattia Rigotti · Christoph Miksovic · Ioana Giurgiu · Thomas Gschwind · Paolo Scotton |
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Spotlight
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Thu 2:30 |
How Do Vision Transformers Work? Namuk Park · Songkuk Kim |
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Workshop
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Fri 8:20 |
Attention-Free Keyword Spotting Mashrur Mahmud Morshed · Ahmad Omar Ahsan |
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Poster
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Thu 2:30 |
How Do Vision Transformers Work? Namuk Park · Songkuk Kim |
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Poster
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Wed 10:30 |
ARTEMIS: Attention-based Retrieval with Text-Explicit Matching and Implicit Similarity Ginger Delmas · Rafael S Rezende · Gabriela Csurka · Diane Larlus |
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Poster
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Mon 10:30 |
The Inductive Bias of In-Context Learning: Rethinking Pretraining Example Design Yoav Levine · Noam Wies · Daniel Jannai · Dan Navon · Yedid Hoshen · Amnon Shashua |
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Spotlight
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Thu 2:30 |
Omni-Dimensional Dynamic Convolution Chao Li · Aojun Zhou · Anbang Yao |
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Poster
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Wed 10:30 |
Scene Transformer: A unified architecture for predicting future trajectories of multiple agents Jiquan Ngiam · Vijay Vasudevan · Benjamin Caine · Zhengdong Zhang · Hao-Tien (Lewis) Chiang · Jeffrey Ling · Rebecca Roelofs · Alex Bewley · Chenxi Liu · Ashish Venugopal · David Weiss · Ben Sapp · Zhifeng Chen · Jonathon Shlens |
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Poster
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Tue 10:30 |
Predicting Physics in Mesh-reduced Space with Temporal Attention XU HAN · Han Gao · Tobias Pfaff · Jian-Xun Wang · Liping Liu |
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Poster
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Mon 10:30 |
DictFormer: Tiny Transformer with Shared Dictionary Qian Lou · Ting Hua · Yen-Chang Hsu · Yilin Shen · Hongxia Jin |
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Poster
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Thu 2:30 |
PSA-GAN: Progressive Self Attention GANs for Synthetic Time Series Paul Jeha · Michael Bohlke-Schneider · Pedro Mercado · Shubham Kapoor · Rajbir Nirwan · Valentin Flunkert · Jan Gasthaus · Tim Januschowski |