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182 Results
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Workshop
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Self-Constructing Neural Networks through Random Mutation Samuel Schmidgall |
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Workshop
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Fri 14:50 |
Don't Stack Layers in Graph Neural Networks, Wire Them Randomly Diego Valsesia · Giulia Fracastoro · Enrico Magli |
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Poster
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Thu 17:00 |
Multi-Prize Lottery Ticket Hypothesis: Finding Accurate Binary Neural Networks by Pruning A Randomly Weighted Network James Diffenderfer · Bhavya Kailkhura |
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Poster
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Mon 1:00 |
On the Universality of the Double Descent Peak in Ridgeless Regression David Holzmüller |
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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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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 9:00 |
Graph Coarsening with Neural Networks Chen Cai · Dingkang Wang · Yusu Wang |
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Poster
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Wed 1:00 |
Learning Associative Inference Using Fast Weight Memory Imanol Schlag · Tsendsuren Munkhdalai · Jürgen Schmidhuber |
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Poster
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Tue 1:00 |
Lossless Compression of Structured Convolutional Models via Lifting Gustav Sourek · Filip Zelezny · Ondrej Kuzelka |
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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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Mon 1:00 |
Targeted Attack against Deep Neural Networks via Flipping Limited Weight Bits Jiawang Bai · Baoyuan Wu · Yong Zhang · Yiming Li · Zhifeng Li · Shu-Tao Xia |
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Oral
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Thu 0:30 |
Optimal Rates for Averaged Stochastic Gradient Descent under Neural Tangent Kernel Regime Atsushi Nitanda · Taiji Suzuki |