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15 Results
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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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Spotlight
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Wed 13:48 |
A Gradient Flow Framework For Analyzing Network Pruning Ekdeep Singh Lubana · Robert Dick |
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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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Poster
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Thu 17:00 |
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning Mamshad Nayeem Rizve · Kevin Duarte · Yogesh S Rawat · Mubarak Shah |
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Poster
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Wed 1:00 |
Relating by Contrasting: A Data-efficient Framework for Multimodal Generative Models Yuge Shi · Brooks Paige · Philip Torr · Siddharth N |
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Poster
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Tue 1:00 |
Calibration tests beyond classification David Widmann · Fredrik Lindsten · Dave Zachariah |
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Poster
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Thu 9:00 |
A teacher-student framework to distill future trajectories Alexander Neitz · Giambattista Parascandolo · Bernhard Schoelkopf |
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Poster
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Wed 17:00 |
Modelling Hierarchical Structure between Dialogue Policy and Natural Language Generator with Option Framework for Task-oriented Dialogue System Jianhong Wang · Yuan Zhang · Tae-Kyun Kim · Yunjie Gu |
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Poster
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Tue 9:00 |
SSD: A Unified Framework for Self-Supervised Outlier Detection Vikash Sehwag · Mung Chiang · Prateek Mittal |
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Poster
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Mon 17:00 |
The Deep Bootstrap Framework: Good Online Learners are Good Offline Generalizers Preetum Nakkiran · Behnam Neyshabur · Hanie Sedghi |
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Poster
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Wed 9:00 |
A Gradient Flow Framework For Analyzing Network Pruning Ekdeep Singh Lubana · Robert Dick |
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Workshop
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PyVertical: A Vertical Federated Learning Framework for Multi-headed SplitNN Daniele Romanini · Adam Hall · Pavlos Papadopoulos · Tom Titcombe · Abbas Ismail · Tudor Cebere · Robert Sandmann · Robin Roehm · Michael Hoeh |