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71 Results
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Oral
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Tue 19:00 |
Deep symbolic regression: Recovering mathematical expressions from data via risk-seeking policy gradients Brenden Petersen · Mikel Landajuela Larma · Terrell N Mundhenk · Claudio Santiago · Soo Kim · Joanne Kim |
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Poster
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Wed 17:00 |
Learning and Evaluating Representations for Deep One-Class Classification Kihyuk Sohn · Chun-Liang Li · Jinsung Yoon · Minho Jin · Tomas Pfister |
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Poster
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Mon 17:00 |
DeLighT: Deep and Light-weight Transformer Sachin Mehta · Marjan Ghazvininejad · Srini Iyer · Luke Zettlemoyer · Hannaneh Hajishirzi |
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Poster
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Mon 17:00 |
MONGOOSE: A Learnable LSH Framework for Efficient Neural Network Training Beidi Chen · Zichang Liu · Binghui Peng · Zhaozhuo Xu · Jonathan L Li · Tri Dao · Zhao Song · Anshumali Shrivastava · Christopher Re |
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Oral
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Tue 21:18 |
MONGOOSE: A Learnable LSH Framework for Efficient Neural Network Training Beidi Chen · Zichang Liu · Binghui Peng · Zhaozhuo Xu · Jonathan L Li · Tri Dao · Zhao Song · Anshumali Shrivastava · Christopher Re |
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Workshop
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Fri 5:20 |
Spotlight 4: Théo Ladune et al., Conditional Coding for Flexible Learned Video Compression |
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Poster
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Thu 9:00 |
Understanding and Improving Encoder Layer Fusion in Sequence-to-Sequence Learning Xuebo Liu · Longyue Wang · Derek Wong · Liang Ding · Lidia Chao · Zhaopeng Tu |
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Poster
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Thu 17:00 |
-Mix: A Domain-Agnostic Strategy for Contrastive Representation Learning Kibok Lee · Yian Zhu · Kihyuk Sohn · Chun-Liang Li · Jinwoo Shin · Honglak Lee |
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Poster
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Thu 17:00 |
Self-supervised Representation Learning with Relative Predictive Coding Yao-Hung Hubert Tsai · Martin Ma · Muqiao Yang · Han Zhao · Louis-Philippe Morency · Ruslan Salakhutdinov |
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Poster
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Thu 17:00 |
DynaTune: Dynamic Tensor Program Optimization in Deep Neural Network Compilation Minjia Zhang · Menghao Li · Chi Wang · Mingqin Li |
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Poster
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Mon 9:00 |
Learning Structural Edits via Incremental Tree Transformations Ziyu Yao · Frank F Xu · Pengcheng Yin · Huan Sun · Graham Neubig |