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Learning Invariant Representations using Inverse Contrastive Loss


Feb 16, 2021
Aditya Kumar Akash, Vishnu Suresh Lokhande, Sathya N. Ravi, Vikas Singh

* Accepted to AAAI-21 

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Physarum Powered Differentiable Linear Programming Layers and Applications


Apr 30, 2020
Zihang Meng, Sathya N. Ravi, Vikas Singh


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FairALM: Augmented Lagrangian Method for Training Fair Models with Little Regret


Apr 03, 2020
Vishnu Suresh Lokhande, Aditya Kumar Akash, Sathya N. Ravi, Vikas Singh


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Optimizing Nondecomposable Data Dependent Regularizers via Lagrangian Reparameterization offers Significant Performance and Efficiency Gains


Sep 26, 2019
Sathya N. Ravi, Abhay Venkatesh, Glenn Moo Fung, Vikas Singh


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Robust Blind Deconvolution via Mirror Descent


Mar 21, 2018
Sathya N. Ravi, Ronak Mehta, Vikas Singh


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Constrained Deep Learning using Conditional Gradient and Applications in Computer Vision


Mar 17, 2018
Sathya N. Ravi, Tuan Dinh, Vishnu Sai Rao Lokhande, Vikas Singh


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A Deterministic Nonsmooth Frank Wolfe Algorithm with Coreset Guarantees


Aug 22, 2017
Sathya N. Ravi, Maxwell D. Collins, Vikas Singh


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