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Workshop
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Baseline Pruning-Based Approach to Trojan Detection in Neural Networks Peter Bajcsy |
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Poster
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Tue 9:00 |
Robust Pruning at Initialization Soufiane Hayou · Jean-Francois Ton · Arnaud Doucet · Yee Whye Teh |
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Poster
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Mon 1:00 |
Progressive Skeletonization: Trimming more fat from a network at initialization Pau de Jorge Aranda · Amartya Sanyal · Harkirat Singh Behl · Philip Torr · Grégory Rogez · Puneet Dokania |
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Poster
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Mon 17:00 |
Layer-adaptive Sparsity for the Magnitude-based Pruning Jaeho Lee · Sejun Park · Sangwoo Mo · Sungsoo Ahn · Jinwoo Shin |
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Poster
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Thu 1:00 |
Network Pruning That Matters: A Case Study on Retraining Variants Duong Le · Binh-Son Hua |
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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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Poster
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Wed 9:00 |
Growing Efficient Deep Networks by Structured Continuous Sparsification Xin Yuan · Pedro Savarese · Michael Maire |
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Poster
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Mon 9:00 |
Pruning Neural Networks at Initialization: Why Are We Missing the Mark? Jonathan Frankle · Gintare Dziugaite · Anonymous A Author · Michael Carbin |
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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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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 9:00 |
Zero-Cost Proxies for Lightweight NAS Mohamed Abdelfattah · Abhinav Mehrotra · Łukasz Dudziak · Nicholas Lane |
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Oral
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Mon 11:30 |
Growing Efficient Deep Networks by Structured Continuous Sparsification Xin Yuan · Pedro Savarese · Michael Maire |