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Poster
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Tue 14:00
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Towards Robust Detection of Adversarial Examples
Tianyu Pang · Chao Du · Yinpeng Dong · Jun Zhu
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Poster
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Tue 7:45
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Deep Neural Networks with Box Convolutions
Egor Burkov · Victor Lempitsky
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Poster
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Tue 7:45
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Learning Compressed Transforms with Low Displacement Rank
Anna Thomas · Albert Gu · Tri Dao · Atri Rudra · Christopher Ré
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Poster
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Thu 14:00
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A Simple Proximal Stochastic Gradient Method for Nonsmooth Nonconvex Optimization
Zhize Li · Jian Li
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Poster
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Wed 7:45
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Blockwise Parallel Decoding for Deep Autoregressive Models
Mitchell Stern · Noam Shazeer · Jakob Uszkoreit
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Poster
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Tue 7:45
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Training Deep Models Faster with Robust, Approximate Importance Sampling
Tyler Johnson · Carlos Guestrin
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Poster
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Tue 7:45
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Regularizing by the Variance of the Activations' Sample-Variances
Etai Littwin · Lior Wolf
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Poster
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Tue 14:00
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How Does Batch Normalization Help Optimization?
Shibani Santurkar · Dimitris Tsipras · Andrew Ilyas · Aleksander Madry
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Poster
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Thu 14:00
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Optimal Subsampling with Influence Functions
Daniel Ting · Eric Brochu
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Poster
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Tue 7:45
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A Linear Speedup Analysis of Distributed Deep Learning with Sparse and Quantized Communication
Peng Jiang · Gagan Agrawal
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Poster
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Tue 7:45
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Paraphrasing Complex Network: Network Compression via Factor Transfer
Jangho Kim · Seonguk Park · Nojun Kwak
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Poster
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Tue 7:45
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Pelee: A Real-Time Object Detection System on Mobile Devices
Robert J. Wang · Tanner Bohn · Charles Ling
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