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30 Results
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Poster
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Tue 7:30 |
Minimalistic Unsupervised Representation Learning with the Sparse Manifold Transform Yubei Chen · Zeyu Yun · Yi Ma · Bruno Olshausen · Yann LeCun |
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Oral
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Mon 1:00 |
Sparsity May Cry: Let Us Fail (Current) Sparse Neural Networks Together! Shiwei Liu · Tianlong Chen · Zhenyu Zhang · Xuxi Chen · Tianjin Huang · AJAY JAISWAL · Zhangyang Wang |
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Oral
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Tue 1:40 |
Unmasking the Lottery Ticket Hypothesis: What's Encoded in a Winning Ticket's Mask? Mansheej Paul · Feng Chen · Brett Larsen · Jonathan Frankle · Surya Ganguli · Gintare Karolina Dziugaite |
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Poster
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Wed 7:30 |
More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity Shiwei Liu · Tianlong Chen · Xiaohan Chen · Xuxi Chen · Qiao Xiao · Boqian Wu · Tommi Kärkkäinen · Mykola Pechenizkiy · Decebal Constantin Mocanu · Zhangyang Wang |
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Oral
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Wed 1:00 |
Efficient recurrent architectures through activity sparsity and sparse back-propagation through time Anand Subramoney · Khaleelulla Khan Nazeer · Mark Schoene · Christian Mayr · David Kappel |
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Poster
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Rethinking Graph Lottery Tickets: Graph Sparsity Matters Bo Hui · Da Yan · Xiaolong Ma · Wei-Shinn Ku |
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Poster
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Sparse Random Networks for Communication-Efficient Federated Learning Berivan Isik · Francesco Pase · Deniz Gunduz · Tsachy Weissman · Michele Zorzi |
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Poster
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Mon 7:30 |
Learning Sparse and Low-Rank Priors for Image Recovery via Iterative Reweighted Least Squares Minimization Stamatios Lefkimmiatis · Iaroslav Koshelev |
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Poster
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Wed 2:30 |
Efficient recurrent architectures through activity sparsity and sparse back-propagation through time Anand Subramoney · Khaleelulla Khan Nazeer · Mark Schoene · Christian Mayr · David Kappel |
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Poster
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Tue 2:30 |
Unmasking the Lottery Ticket Hypothesis: What's Encoded in a Winning Ticket's Mask? Mansheej Paul · Feng Chen · Brett Larsen · Jonathan Frankle · Surya Ganguli · Gintare Karolina Dziugaite |
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Poster
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Tue 7:30 |
Extremely Simple Activation Shaping for Out-of-Distribution Detection Andrija Djurisic · Nebojsa Bozanic · Arjun Ashok · Rosanne Liu |
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Workshop
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Fri 1:35 |
Panel: Understanding Sparsity |