|
Spotlight
|
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 |
|
|
Poster
|
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 |
|
|
Spotlight
|
Thu 2:30 |
How Do Vision Transformers Work? Namuk Park · Songkuk Kim |
|
|
Poster
|
Wed 10:30 |
ARTEMIS: Attention-based Retrieval with Text-Explicit Matching and Implicit Similarity Ginger Delmas · Rafael S Rezende · Gabriela Csurka · Diane Larlus |
|
|
Poster
|
Thu 2:30 |
How Do Vision Transformers Work? Namuk Park · Songkuk Kim |
|
|
Poster
|
Thu 10:30 |
Attention-based Interpretability with Concept Transformers Mattia Rigotti · Christoph Miksovic · Ioana Giurgiu · Thomas Gschwind · Paolo Scotton |
|
|
Workshop
|
Fri 8:20 |
Attention-Free Keyword Spotting Mashrur Mahmud Morshed · Ahmad Omar Ahsan |
|
|
Workshop
|
Don't Pay Attention to the Noise: Learning Self-supervised Light Curve Representations with a Denoising Time Series Transformer Mario Morvan · Nikolaos Nikolaou · Kai Yip · Ingo Waldmann |
||
|
Workshop
|
Graph Attention Retrospective Kimon Fountoulakis · Amit Levi · Shenghao Yang · Aseem Baranwal · Aukosh Jagannath |
||
|
Poster
|
Wed 18:30 |
Mention Memory: incorporating textual knowledge into Transformers through entity mention attention Michiel de Jong · Yury Zemlyanskiy · Nicholas FitzGerald · Fei Sha · William Cohen |
|
|
Poster
|
Thu 18:30 |
Hybrid Random Features Krzysztof Choromanski · Han Lin · Haoxian Chen · Arijit Sehanobish · Yuanzhe Ma · Deepali Jain · Jake Varley · Andy Zeng · Michael Ryoo · Valerii Likhosherstov · Dmitry Kalashnikov · Vikas Sindhwani · Adrian Weller |
|
|
Poster
|
Mon 10:30 |
Quadtree Attention for Vision Transformers Shitao Tang · Jiahui Zhang · Siyu Zhu · Ping Tan |