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Poster
Tue 10:45 DppNet: Approximating Determinantal Point Processes with Deep Networks
Zelda Mariet · Yaniv Ovadia · Jasper Snoek
Poster
Thu 10:45 Time Matters in Regularizing Deep Networks: Weight Decay and Data Augmentation Affect Early Learning Dynamics, Matter Little Near Convergence
Aditya Sharad Golatkar · Alessandro Achille · Stefano Soatto
Poster
Tue 10:45 Backpropagation-Friendly Eigendecomposition
Wei Wang · Zheng Dang · Yinlin Hu · Pascal Fua · Mathieu Salzmann
Poster
Tue 10:45 Deconstructing Lottery Tickets: Zeros, Signs, and the Supermask
Hattie Zhou · Janice Lan · Rosanne Liu · Jason Yosinski
Poster
Wed 10:45 Understanding the Role of Momentum in Stochastic Gradient Methods
Igor Gitman · Hunter Lang · Pengchuan Zhang · Lin Xiao
Poster
Tue 10:45 Differentiable Cloth Simulation for Inverse Problems
Junbang Liang · Ming Lin · Vladlen Koltun
Poster
Tue 17:30 Qsparse-local-SGD: Distributed SGD with Quantization, Sparsification and Local Computations
Debraj Basu · Deepesh Data · Can Karakus · Suhas Diggavi
Poster
Thu 10:45 Invariance-inducing regularization using worst-case transformations suffices to boost accuracy and spatial robustness
Fanny Yang · Zuowen Wang · Christina Heinze-Deml
Poster
Thu 17:00 A Primal Dual Formulation For Deep Learning With Constraints
Yatin Nandwani · Abhishek Pathak · Mausam · Parag Singla
Poster
Tue 10:45 Joint Optimization of Tree-based Index and Deep Model for Recommender Systems
Han Zhu · Daqing Chang · Ziru Xu · Pengye Zhang · Xiang Li · Jie He · Han Li · Jian Xu · Kun Gai
Poster
Thu 17:00 Communication-Efficient Distributed Blockwise Momentum SGD with Error-Feedback
Shuai Zheng · Ziyue Huang · James Kwok
Poster
Thu 17:00 GOT: An Optimal Transport framework for Graph comparison
Hermina Petric Maretic · Mireille El Gheche · Giovanni Chierchia · Pascal Frossard