Poster
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Tue 18:30
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Convergent Block Coordinate Descent for Training Tikhonov Regularized Deep Neural Networks
Ziming Zhang · Matthew Brand
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Poster
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Wed 18:30
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Train longer, generalize better: closing the generalization gap in large batch training of neural networks
Elad Hoffer · Itay Hubara · Daniel Soudry
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Workshop
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Sat 16:50
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POSTER: Variational probability flow for biologically plausible training of deep neural networks
ZUOZHU LIU · Shaowei Lin
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Workshop
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Fri 14:45
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Contributed talk: Deep Motif Dashboard: Visualizing and Understanding Genomic Sequences Using Deep Neural Networks
Jack Lanchantin · Ritambhara Singh · Beilun Wang
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Demonstration
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Wed 19:00
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3D Surface-to-Structure Translation with Deep Convolutional Networks
Takumi Moriya · Kazuyuki Saito
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Poster
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Mon 18:30
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The Reversible Residual Network: Backpropagation Without Storing Activations
Aidan Gomez · Mengye Ren · Raquel Urtasun · Roger Grosse
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Poster
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Tue 18:30
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A Unified Approach to Interpreting Model Predictions
Scott M Lundberg · Su-In Lee
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Poster
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Mon 18:30
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Toward Robustness against Label Noise in Training Deep Discriminative Neural Networks
Arash Vahdat
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Workshop
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Sat 16:50
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POSTER: Context-modulation of hippocampal dynamics and deep convolutional networks
Brad Aimone
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Poster
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Mon 18:30
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Learned D-AMP: Principled Neural Network based Compressive Image Recovery
Chris Metzler · Ali Mousavi · Richard Baraniuk
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Poster
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Mon 18:30
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SafetyNets: Verifiable Execution of Deep Neural Networks on an Untrusted Cloud
Zahra Ghodsi · Tianyu Gu · Siddharth Garg
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Poster
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Tue 18:30
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Hierarchical Attentive Recurrent Tracking
Adam Kosiorek · Alex Bewley · Ingmar Posner
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