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Ayush Jain

Department of Computer Science and Engineering, Indian Institute of Technology Hyderabad, India

COGMEN: COntextualized GNN based Multimodal Emotion recognitioN


May 05, 2022
Abhinav Joshi, Ashwani Bhat, Ayush Jain, Atin Vikram Singh, Ashutosh Modi

* 17 pages (9 main + 8 appendix). Accepted at NAACL 2022 

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Scalable Deep Reinforcement Learning Algorithms for Mean Field Games


Mar 22, 2022
Mathieu Laurière, Sarah Perrin, Sertan Girgin, Paul Muller, Ayush Jain, Theophile Cabannes, Georgios Piliouras, Julien Pérolat, Romuald Élie, Olivier Pietquin, Matthieu Geist


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Deep Reinforcement Agent for Efficient Instant Search


Mar 17, 2022
Ravneet Singh Arora, Sreejith Menon, Ayush Jain, Nehil Jain


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TURF: A Two-factor, Universal, Robust, Fast Distribution Learning Algorithm


Feb 15, 2022
Yi Hao, Ayush Jain, Alon Orlitsky, Vaishakh Ravindrakumar

* 18 pages, 9 figures 

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Robust estimation algorithms don't need to know the corruption level


Feb 11, 2022
Ayush Jain, Alon Orlitsky, Vaishakh Ravindrakumar


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Looking Outside the Box to Ground Language in 3D Scenes


Dec 19, 2021
Ayush Jain, Nikolaos Gkanatsios, Ishita Mediratta, Katerina Fragkiadaki

* First two authors contributed equally 

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Robust Estimation for Random Graphs


Nov 09, 2021
Jayadev Acharya, Ayush Jain, Gautam Kamath, Ananda Theertha Suresh, Huanyu Zhang


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Subset-of-Data Variational Inference for Deep Gaussian-Processes Regression


Jul 17, 2021
Ayush Jain, P. K. Srijith, Mohammad Emtiyaz Khan

* Accepted in the 37th Conference on Uncertainty in Artificial Intelligence (UAI 2021) 

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The Price of Tolerance in Distribution Testing


Jun 25, 2021
Clément L. Canonne, Ayush Jain, Gautam Kamath, Jerry Li


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Variance Penalized On-Policy and Off-Policy Actor-Critic


Feb 03, 2021
Arushi Jain, Gandharv Patil, Ayush Jain, Khimya Khetarpal, Doina Precup

* Accepted to the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21), 2021 

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Deep learning via LSTM models for COVID-19 infection forecasting in India


Jan 28, 2021
Rohitash Chandra, Ayush Jain, Divyanshu Singh Chauhan

* Under review 

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Move to See Better: Towards Self-Supervised Amodal Object Detection


Nov 30, 2020
Zhaoyuan Fang, Ayush Jain, Gabriel Sarch, Adam W. Harley, Katerina Fragkiadaki

* First three authors contributed equally. Project Page: https://ayushjain1144.github.io/SeeingByMoving/ 

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Generalization to New Actions in Reinforcement Learning


Nov 03, 2020
Ayush Jain, Andrew Szot, Joseph J. Lim

* ICML 2020. Videos and code: https://sites.google.com/view/action-generalization 

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Linear-Sample Learning of Low-Rank Distributions


Sep 30, 2020
Ayush Jain, Alon Orlitsky

* Accepted for Neurips 2020 

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NukeBERT: A Pre-trained language model for Low Resource Nuclear Domain


Mar 30, 2020
Ayush Jain, Meenachi Ganesamoorty


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A General Method for Robust Learning from Batches


Feb 25, 2020
Ayush Jain, Alon Orlitsky

* First Draft 

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SURF: A Simple, Universal, Robust, Fast Distribution Learning Algorithm


Feb 22, 2020
Yi Hao, Ayush Jain, Alon Orlitsky, Vaishakh Ravindrakumar

* 20 pages, 6 figures, 2 tables 

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Robust Learning of Discrete Distributions from Batches


Nov 19, 2019
Ayush Jain, Alon Orlitsky

* 16 pages 

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A deep learning system for differential diagnosis of skin diseases


Sep 11, 2019
Yuan Liu, Ayush Jain, Clara Eng, David H. Way, Kang Lee, Peggy Bui, Kimberly Kanada, Guilherme de Oliveira Marinho, Jessica Gallegos, Sara Gabriele, Vishakha Gupta, Nalini Singh, Vivek Natarajan, Rainer Hofmann-Wellenhof, Greg S. Corrado, Lily H. Peng, Dale R. Webster, Dennis Ai, Susan Huang, Yun Liu, R. Carter Dunn, David Coz


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