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