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When does mixup promote local linearity in learned representations?


Oct 28, 2022
Arslan Chaudhry, Aditya Krishna Menon, Andreas Veit, Sadeep Jayasumana, Srikumar Ramalingam, Sanjiv Kumar

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* NeurIPS 2022 (First Workshop on Interpolation and Beyond) 

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The Combinatorial Brain Surgeon: Pruning Weights That Cancel One Another in Neural Networks


Mar 12, 2022
Xin Yu, Thiago Serra, Srikumar Ramalingam, Shandian Zhe

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Implicit-PDF: Non-Parametric Representation of Probability Distributions on the Rotation Manifold


Jun 10, 2021
Kieran Murphy, Carlos Esteves, Varun Jampani, Srikumar Ramalingam, Ameesh Makadia

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Balancing Robustness and Sensitivity using Feature Contrastive Learning


May 19, 2021
Seungyeon Kim, Daniel Glasner, Srikumar Ramalingam, Cho-Jui Hsieh, Kishore Papineni, Sanjiv Kumar

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* 31 pages, 5 figures, 3 tables 

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Balancing Constraints and Submodularity in Data Subset Selection


Apr 26, 2021
Srikumar Ramalingam, Daniel Glasner, Kaushal Patel, Raviteja Vemulapalli, Sadeep Jayasumana, Sanjiv Kumar

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There and back again: Cycle consistency across sets for isolating factors of variation


Mar 04, 2021
Kieran A. Murphy, Varun Jampani, Srikumar Ramalingam, Ameesh Makadia

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Scaling Up Exact Neural Network Compression by ReLU Stability


Feb 15, 2021
Thiago Serra, Abhinav Kumar, Srikumar Ramalingam

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Kernelized Classification in Deep Networks


Dec 08, 2020
Sadeep Jayasumana, Srikumar Ramalingam, Sanjiv Kumar

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Mapping of Sparse 3D Data using Alternating Projection


Oct 09, 2020
Siddhant Ranade, Xin Yu, Shantnu Kakkar, Pedro Miraldo, Srikumar Ramalingam

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* ACCV2020 oral. This article supersedes arXiv:1906.05888 

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