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50 Results
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Poster
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Tue 7:30 |
Meta Learning to Bridge Vision and Language Models for Multimodal Few-Shot Learning Ivona Najdenkoska · Xiantong Zhen · Marcel Worring |
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Poster
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MIMT: Masked Image Modeling Transformer for Video Compression Jinxi Xiang · kuan tian · Jun Zhang |
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Oral
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Mon 7:00 |
Mass-Editing Memory in a Transformer Kevin Meng · Arnab Sen Sharma · Alex J Andonian · Yonatan Belinkov · David Bau |
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Poster
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Mon 2:30 |
Rethinking skip connection model as a learnable Markov chain Chen Dengsheng · Jie Hu · Wenwen Qiang · Xiaoming Wei · Enhua Wu |
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Poster
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Mon 7:30 |
Mass-Editing Memory in a Transformer Kevin Meng · Arnab Sen Sharma · Alex J Andonian · Yonatan Belinkov · David Bau |
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Oral
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Tue 6:00 |
Transformers are Sample-Efficient World Models Vincent Micheli · Eloi Alonso · François Fleuret |
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Poster
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Tue 7:30 |
Transformers are Sample-Efficient World Models Vincent Micheli · Eloi Alonso · François Fleuret |
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Oral
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Wed 6:00 |
Language Modelling with Pixels Phillip Rust · Jonas F. Lotz · Emanuele Bugliarello · Elizabeth Salesky · Miryam de Lhoneux · Desmond Elliott |
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Poster
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Wed 7:30 |
Language Modelling with Pixels Phillip Rust · Jonas F. Lotz · Emanuele Bugliarello · Elizabeth Salesky · Miryam de Lhoneux · Desmond Elliott |
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Oral
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Wed 6:10 |
What learning algorithm is in-context learning? Investigations with linear models Ekin Akyürek · Dale Schuurmans · Jacob Andreas · Tengyu Ma · Denny Zhou |
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Poster
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Wed 7:30 |
What learning algorithm is in-context learning? Investigations with linear models Ekin Akyürek · Dale Schuurmans · Jacob Andreas · Tengyu Ma · Denny Zhou |
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Poster
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Wed 7:30 |
Encoding Recurrence into Transformers Feiqing Huang · Kexin Lu · Yuxi Cai · Zhen Qin · Yanwen Fang · Guangjian Tian · Guodong Li |