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Negative Data Augmentation


Feb 09, 2021
Abhishek Sinha, Kumar Ayush, Jiaming Song, Burak Uzkent, Hongxia Jin, Stefano Ermon

* Accepted at ICLR 2021 

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Online Caching with Optimal Switching Regret


Jan 18, 2021
Samrat Mukhopadhyay, Abhishek Sinha

* 11 pages, 3 figures, to be submitted to ISIT, 2021 

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Caching in Networks without Regret


Sep 17, 2020
Debjit Paria, Krishnakumar, Abhishek Sinha

* This is version 1 of the article analyzing the theoretical aspects of the problem. The article will be updated soon with numerical results on real traces 

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On the Benefits of Models with Perceptually-Aligned Gradients


May 04, 2020
Gunjan Aggarwal, Abhishek Sinha, Nupur Kumari, Mayank Singh

* Accepted at ICLR 2020 Workshop: Towards Trustworthy ML 

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Inducing Cooperative behaviour in Sequential-Social dilemmas through Multi-Agent Reinforcement Learning using Status-Quo Loss


Feb 13, 2020
Pinkesh Badjatiya, Mausoom Sarkar, Abhishek Sinha, Siddharth Singh, Nikaash Puri, Jayakumar Subramanian, Balaji Krishnamurthy


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Inducing Cooperation in Multi-Agent Games Through Status-Quo Loss


Jan 15, 2020
Pinkesh Badjatiya, Mausoom Sarkar, Abhishek Sinha, Siddharth Singh, Nikaash Puri, Balaji Krishnamurthy


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On the Benefits of Attributional Robustness


Dec 10, 2019
Mayank Singh, Nupur Kumari, Puneet Mangla, Abhishek Sinha, Vineeth N Balasubramanian, Balaji Krishnamurthy


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cFineGAN: Unsupervised multi-conditional fine-grained image generation


Dec 06, 2019
Gunjan Aggarwal, Abhishek Sinha

* Accepted at NeurIPS Workshop on Machine Learning for Creativity and Design 3.0 

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A Method for Computing Class-wise Universal Adversarial Perturbations


Dec 01, 2019
Tejus Gupta, Abhishek Sinha, Nupur Kumari, Mayank Singh, Balaji Krishnamurthy


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Intrusion Detection using Sequential Hybrid Model


Oct 29, 2019
Aditya Pandey, Abhishek Sinha, Aishwarya PS


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Charting the Right Manifold: Manifold Mixup for Few-shot Learning


Aug 07, 2019
Puneet Mangla, Mayank Singh, Abhishek Sinha, Nupur Kumari, Vineeth N Balasubramanian, Balaji Krishnamurthy


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Harnessing the Vulnerability of Latent Layers in Adversarially Trained Models


May 13, 2019
Abhishek Sinha, Mayank Singh, Nupur Kumari, Balaji Krishnamurthy, Harshitha Machiraju, V N Balasubramanian

* Accepted at IJCAI 2019 

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Attention Based Natural Language Grounding by Navigating Virtual Environment


Apr 23, 2018
Abhishek Sinha, Akilesh B, Mausoom Sarkar, Balaji Krishnamurthy


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Neural Networks in Adversarial Setting and Ill-Conditioned Weight Space


Jan 03, 2018
Mayank Singh, Abhishek Sinha, Balaji Krishnamurthy


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Intelligent Fault Analysis in Electrical Power Grids


Nov 08, 2017
Biswarup Bhattacharya, Abhishek Sinha

* In proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence (ICTAI) 2017 (full paper); 6 pages; 13 figures 

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Deep Fault Analysis and Subset Selection in Solar Power Grids


Nov 08, 2017
Biswarup Bhattacharya, Abhishek Sinha

* Presented at NIPS 2017 Workshop on Machine Learning for the Developing World 

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Intelligent Subset Selection of Power Generators for Economic Dispatch


Sep 08, 2017
Biswarup Bhattacharya, Abhishek Sinha

* 6 pages, 6 figures 

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