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Implicit Training of Energy Model for Structure Prediction


Nov 21, 2022
Shiv Shankar, Vihari Piratla

* AAAI 

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Web-based Elicitation of Human Perception on mixup Data


Nov 02, 2022
Katherine M. Collins, Umang Bhatt, Weiyang Liu, Vihari Piratla, Bradley Love, Adrian Weller


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Focus on the Common Good: Group Distributional Robustness Follows


Oct 06, 2021
Vihari Piratla, Praneeth Netrapalli, Sunita Sarawagi

* Under review; Code can be found at: https://github.com/vps-anonconfs/cg-iclr22 

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Training for the Future: A Simple Gradient Interpolation Loss to Generalize Along Time


Aug 15, 2021
Anshul Nasery, Soumyadeep Thakur, Vihari Piratla, Abir De, Sunita Sarawagi


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Active Assessment of Prediction Services as Accuracy Surface Over Attribute Combinations


Aug 14, 2021
Vihari Piratla, Soumen Chakrabarty, Sunita Sarawagi


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An Analysis of Frame-skipping in Reinforcement Learning


Feb 07, 2021
Shivaram Kalyanakrishnan, Siddharth Aravindan, Vishwajeet Bagdawat, Varun Bhatt, Harshith Goka, Archit Gupta, Kalpesh Krishna, Vihari Piratla


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NLP Service APIs and Models for Efficient Registration of New Clients


Oct 04, 2020
Sahil Shah, Vihari Piratla, Soumen Chakrabarti, Sunita Sarawagi

* Accepted to Findings of EMNLP, 2020 

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Untapped Potential of Data Augmentation: A Domain Generalization Viewpoint


Jul 09, 2020
Vihari Piratla, Shiv Shankar

* 6 pages, ICML 2020 Workshop on Uncertainty and Ro-bustness in Deep Learning 

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Efficient Domain Generalization via Common-Specific Low-Rank Decomposition


Apr 07, 2020
Vihari Piratla, Praneeth Netrapalli, Sunita Sarawagi


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