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Poster
Tue 9:00 Kernel Multimodal Continuous Attention
Alexander Moreno · Zhenke Wu · Supriya Nagesh · Walter Dempsey · James Rehg
Poster
Thu 9:00 Learning to Scaffold: Optimizing Model Explanations for Teaching
Patrick Fernandes · Marcos Treviso · Danish Pruthi · André Martins · Graham Neubig
Poster
Tue 14:00 Pyramid Attention For Source Code Summarization
Lei Chai · Ming LI
Poster
Thu 9:00 I2DFormer: Learning Image to Document Attention for Zero-Shot Image Classification
Muhammad Ferjad Naeem · Yongqin Xian · Luc V Gool · Federico Tombari
Poster
Wed 14:00 Object Scene Representation Transformer
Mehdi S. M. Sajjadi · Daniel Duckworth · Aravindh Mahendran · Sjoerd van Steenkiste · Filip Pavetic · Mario Lucic · Leonidas Guibas · Klaus Greff · Thomas Kipf
Poster
Thu 9:00 Fast Vision Transformers with HiLo Attention
Zizheng Pan · Jianfei Cai · Bohan Zhuang
Poster
Tue 9:00 EcoFormer: Energy-Saving Attention with Linear Complexity
Jing Liu · Zizheng Pan · Haoyu He · Jianfei Cai · Bohan Zhuang
Poster
Wed 14:00 Optimal-er Auctions through Attention
Dmitry Ivanov · Iskander Safiulin · Igor Filippov · Ksenia Balabaeva
Poster
Tue 14:00 Pay attention to your loss : understanding misconceptions about Lipschitz neural networks
Louis Béthune · Thibaut Boissin · Mathieu Serrurier · Franck Mamalet · Corentin Friedrich · Alberto Gonzalez Sanz
Poster
Recurrent Video Restoration Transformer with Guided Deformable Attention
Jingyun Liang · Yuchen Fan · Xiaoyu Xiang · Rakesh Ranjan · Eddy Ilg · Simon Green · Jiezhang Cao · Kai Zhang · Radu Timofte · Luc V Gool
Poster
Tue 14:00 Transformers meet Stochastic Block Models: Attention with Data-Adaptive Sparsity and Cost
Sungjun Cho · Seonwoo Min · Jinwoo Kim · Moontae Lee · Honglak Lee · Seunghoon Hong
Poster
Thu 14:00 Noise Attention Learning: Enhancing Noise Robustness by Gradient Scaling
Yangdi Lu · Yang Bo · Wenbo He