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Poster
Wed 17:00 PolarNet: Learning to Optimize Polar Keypoints for Keypoint Based Object Detection
wu xiongwei · Doyen Sahoo · Steven HOI
Poster
Mon 1:00 Overfitting for Fun and Profit: Instance-Adaptive Data Compression
Ties van Rozendaal · Iris Huijben · Taco Cohen
Poster
Wed 17:00 A Geometric Analysis of Deep Generative Image Models and Its Applications
Binxu Wang · Carlos Ponce
Poster
Tue 17:00 Generating Adversarial Computer Programs using Optimized Obfuscations
Shashank Srikant · Sijia Liu · Tamara Mitrovska · Shiyu Chang · Quanfu Fan · Gaoyuan Zhang · Una-May O'Reilly
Poster
Thu 17:00 On the Curse of Memory in Recurrent Neural Networks: Approximation and Optimization Analysis
Zhong Li · Jiequn Han · Weinan E · Qianxiao Li
Poster
Tue 17:00 Memory Optimization for Deep Networks
Aashaka Shah · Chao-Yuan Wu · Jayashree Mohan · Vijay Chidambaram · Philipp Krähenbühl
Poster
Wed 17:00 Combining Physics and Machine Learning for Network Flow Estimation
Arlei Lopes da Silva · Furkan Kocayusufoglu · Saber Jafarpour · Francesco Bullo · Ananthram Swami · Ambuj K Singh
Poster
Wed 1:00 Byzantine-Resilient Non-Convex Stochastic Gradient Descent
Zeyuan Allen-Zhu · Faeze Ebrahimianghazani · Jerry Li · Dan Alistarh
Poster
Mon 17:00 SAFENet: A Secure, Accurate and Fast Neural Network Inference
Qian Lou · Yilin Shen · Hongxia Jin · Lei Jiang
Poster
Thu 9:00 Local Search Algorithms for Rank-Constrained Convex Optimization
Kyriakos Axiotis · Maxim Sviridenko
Poster
Mon 9:00 Vector-output ReLU Neural Network Problems are Copositive Programs: Convex Analysis of Two Layer Networks and Polynomial-time Algorithms
Arda Sahiner · Tolga Ergen · John M Pauly · Mert Pilanci
Poster
Thu 17:00 Greedy-GQ with Variance Reduction: Finite-time Analysis and Improved Complexity
Shaocong Ma · Ziyi Chen · Yi Zhou · Shaofeng Zou