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Poster
Mon 18:30 Deep Subspace Clustering Networks
Pan Ji · Tong Zhang · Hongdong Li · Mathieu Salzmann · Ian Reid
Poster
Wed 18:30 TernGrad: Ternary Gradients to Reduce Communication in Distributed Deep Learning
Wei Wen · Cong Xu · Feng Yan · Chunpeng Wu · Yandan Wang · Yiran Chen · Hai Li
Poster
Tue 18:30 Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks
Federico Monti · Michael Bronstein · Xavier Bresson
Poster
Tue 18:30 Deep Mean-Shift Priors for Image Restoration
Siavash Arjomand Bigdeli · Matthias Zwicker · Paolo Favaro · Meiguang Jin
Poster
Mon 18:30 Learning Efficient Object Detection Models with Knowledge Distillation
Guobin Chen · Wongun Choi · Xiang Yu · Tony Han · Manmohan Chandraker
Poster
Tue 18:30 Wider and Deeper, Cheaper and Faster: Tensorized LSTMs for Sequence Learning
Zhen He · Shaobing Gao · Liang Xiao · Daxue Liu · Hangen He · David Barber
Poster
Mon 18:30 Wasserstein Learning of Deep Generative Point Process Models
Shuai Xiao · Mehrdad Farajtabar · Xiaojing Ye · Junchi Yan · Xiaokang Yang · Le Song · Hongyuan Zha
Poster
Wed 18:30 Toward Goal-Driven Neural Network Models for the Rodent Whisker-Trigeminal System
Chengxu Zhuang · Jonas Kubilius · Mitra JZ Hartmann · Daniel Yamins
Poster
Tue 18:30 Learning Affinity via Spatial Propagation Networks
Sifei Liu · Shalini De Mello · Jinwei Gu · Guangyu Zhong · Ming-Hsuan Yang · Jan Kautz
Poster
Mon 18:30 Working hard to know your neighbor's margins: Local descriptor learning loss
Anastasiia Mishchuk · Dmytro Mishkin · Filip Radenovic · Jiri Matas
Poster
Tue 18:30 An inner-loop free solution to inverse problems using deep neural networks
Kai Fan · Qi Wei · Lawrence Carin · Katherine Heller
Poster
Tue 18:30 Solid Harmonic Wavelet Scattering: Predicting Quantum Molecular Energy from Invariant Descriptors of 3D Electronic Densities
Michael Eickenberg · Georgios Exarchakis · Matthew Hirn · Stephane Mallat