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Poster
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Tue 1:00
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A Block Minifloat Representation for Training Deep Neural Networks
Sean Fox · Seyedramin Rasoulinezhad · Julian Faraone · david boland · Philip Leong
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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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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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Subnet Replacement: Deployment-stage backdoor attack against deep neural networks in gray-box setting
Xiangyu QI
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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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Mon 17:00
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Robust Curriculum Learning: from clean label detection to noisy label self-correction
Tianyi Zhou · Shengjie Wang · Jeff Bilmes
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Poster
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Wed 1:00
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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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Poster
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Tue 17:00
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Deep Equals Shallow for ReLU Networks in Kernel Regimes
Alberto Bietti · Francis Bach
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Poster
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Thu 17:00
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Estimating and Evaluating Regression Predictive Uncertainty in Deep Object Detectors
Ali Harakeh · Steven L Waslander
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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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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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