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Poster
Tue 7:00 PENNI: Pruned Kernel Sharing for Efficient CNN Inference
Shiyu Li · Edward Hanson · Hai Li · Yiran Chen
Poster
Tue 7:00 On the Noisy Gradient Descent that Generalizes as SGD
Jingfeng Wu · Wenqing Hu · Haoyi Xiong · Jun Huan · Vladimir Braverman · Zhanxing Zhu
Poster
Tue 7:00 Normalized Flat Minima: Exploring Scale Invariant Definition of Flat Minima for Neural Networks Using PAC-Bayesian Analysis
Yusuke Tsuzuku · Issei Sato · Masashi Sugiyama
Poster
Tue 7:00 Deep Divergence Learning
Kubra Cilingir · Rachel Manzelli · Brian Kulis
Poster
Tue 7:00 Multigrid Neural Memory
Tri Huynh · Michael Maire · Matthew Walter
Poster
Tue 7:00 Variational Bayesian Quantization
Yibo Yang · Robert Bamler · Stephan Mandt
Poster
Tue 7:00 AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks
Yonggan Fu · Wuyang Chen · Haotao Wang · Haoran Li · Yingyan Lin · Zhangyang Wang
Poster
Tue 8:00 GradientDICE: Rethinking Generalized Offline Estimation of Stationary Values
Shangtong Zhang · Bo Liu · Shimon Whiteson
Poster
Tue 8:00 Angular Visual Hardness
Beidi Chen · Weiyang Liu · Zhiding Yu · Jan Kautz · Anshumali Shrivastava · Animesh Garg · Anima Anandkumar
Poster
Tue 8:00 Neural Clustering Processes
Ari Pakman · Yueqi Wang · Catalin Mitelut · JinHyung Lee · Department of Statistics Liam Paninski
Poster
Tue 9:00 Variance Reduction in Stochastic Particle-Optimization Sampling
Jianyi Zhang · Yang Zhao · Changyou Chen
Poster
Tue 9:00 Disentangling Trainability and Generalization in Deep Neural Networks
Lechao Xiao · Jeffrey Pennington · Samuel Schoenholz