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SwapMix: Diagnosing and Regularizing the Over-Reliance on Visual Context in Visual Question Answering


Apr 05, 2022
Vipul Gupta, Zhuowan Li, Adam Kortylewski, Chenyu Zhang, Yingwei Li, Alan Yuille

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* 11 pages, Computer Vision and Pattern Recognition 2022 

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LocalNewton: Reducing Communication Bottleneck for Distributed Learning


May 16, 2021
Vipul Gupta, Avishek Ghosh, Michal Derezinski, Rajiv Khanna, Kannan Ramchandran, Michael Mahoney

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* To be published in Uncertainty in Artificial Intelligence (UAI) 2021 

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BEAR: Sketching BFGS Algorithm for Ultra-High Dimensional Feature Selection in Sublinear Memory


Oct 26, 2020
Amirali Aghazadeh, Vipul Gupta, Alex DeWeese, O. Ozan Koyluoglu, Kannan Ramchandran

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Fast Distributed Training of Deep Neural Networks: Dynamic Communication Thresholding for Model and Data Parallelism


Oct 18, 2020
Vipul Gupta, Dhruv Choudhary, Ping Tak Peter Tang, Xiaohan Wei, Xing Wang, Yuzhen Huang, Arun Kejariwal, Kannan Ramchandran, Michael W. Mahoney

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* 17 pages, 8 figures 

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Stochastic Weight Averaging in Parallel: Large-Batch Training that Generalizes Well


Jan 07, 2020
Vipul Gupta, Santiago Akle Serrano, Dennis DeCoste

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OverSketched Newton: Fast Convex Optimization for Serverless Systems


Mar 21, 2019
Vipul Gupta, Swanand Kadhe, Thomas Courtade, Michael W. Mahoney, Kannan Ramchandran

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* 27 pages, 11 figures 

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A Sequential Approximation Framework for Coded Distributed Optimization


Oct 24, 2017
Jingge Zhu, Ye Pu, Vipul Gupta, Claire Tomlin, Kannan Ramchandran

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* presented in 55th Annual Allerton Conference on Communication, Control, and Computing, Oct. 2017 

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