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Workshop
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Fri 8:29
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Detection of COVID-19 Disease using Deep Neural Networks with Ultrasound Imaging
Dennis Núñez-Fernández
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Spotlight
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Wed 4:40
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Deep Neural Network Fingerprinting by Conferrable Adversarial Examples
Nils Lukas · Yuxuan Zhang · Florian Kerschbaum
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Poster
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Thu 17:00
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Neural Pruning via Growing Regularization
Huan Wang · Can Qin · Yulun Zhang · Yun Fu
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Workshop
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Subnet Replacement: Deployment-stage backdoor attack against deep neural networks in gray-box setting
Xiangyu QI
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Poster
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Tue 9:00
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Characterizing signal propagation to close the performance gap in unnormalized ResNets
Andrew Brock · Soham De · Samuel Smith
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Workshop
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Fri 6:00
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Keynote 3: Ehsan Saboori. Title: Deep learning model compression using neural network design space exploration
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Poster
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Thu 17:00
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How Much Over-parameterization Is Sufficient to Learn Deep ReLU Networks?
Zixiang Chen · Yuan Cao · Difan Zou · Quanquan Gu
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Poster
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Thu 17:00
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Theoretical Analysis of Self-Training with Deep Networks on Unlabeled Data
Colin Wei · Kendrick Shen · Yining Chen · Tengyu Ma
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Oral
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Thu 19:00
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Theoretical Analysis of Self-Training with Deep Networks on Unlabeled Data
Colin Wei · Kendrick Shen · Yining Chen · Tengyu Ma
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Poster
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Wed 9:00
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Growing Efficient Deep Networks by Structured Continuous Sparsification
Xin Yuan · Pedro Savarese · Michael Maire
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Poster
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Tue 17:00
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Do Wide and Deep Networks Learn the Same Things? Uncovering How Neural Network Representations Vary with Width and Depth
Thao Nguyen · Maithra Raghu · Simon Kornblith
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Oral
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Mon 11:30
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Growing Efficient Deep Networks by Structured Continuous Sparsification
Xin Yuan · Pedro Savarese · Michael Maire
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