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Poster
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Thu 9:00 |
Deconstructing the Regularization of BatchNorm Yann Dauphin · Ekin Cubuk |
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Poster
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Wed 9:00 |
On the Bottleneck of Graph Neural Networks and its Practical Implications Uri Alon · Eran Yahav |
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Poster
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Tue 9:00 |
Learning from Protein Structure with Geometric Vector Perceptrons Bowen Jing · Stephan Eismann · Patricia Suriana · Raphael J Townshend · Ron Dror |
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Poster
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Tue 1:00 |
A Block Minifloat Representation for Training Deep Neural Networks Sean Fox · Seyedramin Rasoulinezhad · Julian Faraone · david boland · Philip Leong |
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Poster
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Mon 1:00 |
PSTNet: Point Spatio-Temporal Convolution on Point Cloud Sequences Hehe Fan · Xin Yu · Yuhang Ding · Yi Yang · Mohan Kankanhalli |
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Spotlight
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Thu 5:05 |
Retrieval-Augmented Generation for Code Summarization via Hybrid GNN Shangqing Liu · Yu Chen · Xiaofei Xie · Siow Jing Kai · Yang Liu |
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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 6:00 |
Keynote 3: Ehsan Saboori. Title: Deep learning model compression using neural network design space exploration |
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Poster
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Wed 1:00 |
Neural networks with late-phase weights Johannes von Oswald · Seijin Kobayashi · Joao Sacramento · Alexander Meulemans · Christian Henning · Benjamin F Grewe |
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Poster
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Thu 1:00 |
Efficient Inference of Flexible Interaction in Spiking-neuron Networks Feng Zhou · Yixuan Zhang · Jun Zhu |
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Poster
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Thu 17:00 |
Representing Partial Programs with Blended Abstract Semantics Maxwell Nye · Yewen Pu · Matthew Bowers · Jacob Andreas · Joshua B Tenenbaum · Armando Solar-Lezama |