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On Learning to Rank Long Sequences with Contextual Bandits


Jun 07, 2021
Anirban Santara, Claudio Gentile, Gaurav Aggarwal, Shuai Li


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Unlocking Pixels for Reinforcement Learning via Implicit Attention


Mar 04, 2021
Krzysztof Choromanski, Deepali Jain, Jack Parker-Holder, Xingyou Song, Valerii Likhosherstov, Anirban Santara, Aldo Pacchiano, Yunhao Tang, Adrian Weller


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MADRaS : Multi Agent Driving Simulator


Oct 02, 2020
Anirban Santara, Sohan Rudra, Sree Aditya Buridi, Meha Kaushik, Abhishek Naik, Bharat Kaul, Balaraman Ravindran


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ExTra: Transfer-guided Exploration


Jun 27, 2019
Anirban Santara, Rishabh Madan, Balaraman Ravindran, Pabitra Mitra

* Under review at NeurIPS 2019 

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PUNCH: Positive UNlabelled Classification based information retrieval in Hyperspectral images


Apr 09, 2019
Anirban Santara, Jayeeta Datta, Sourav Sarkar, Ankur Garg, Kirti Padia, Pabitra Mitra

* 9 pages, under review at ACMMM-2019 

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RAIL: Risk-Averse Imitation Learning


Nov 29, 2017
Anirban Santara, Abhishek Naik, Balaraman Ravindran, Dipankar Das, Dheevatsa Mudigere, Sasikanth Avancha, Bharat Kaul

* Accepted for presentation in Deep Reinforcement Learning Symposium at NIPS 2017 

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Visualization Regularizers for Neural Network based Image Recognition


Jan 03, 2017
Biswajit Paria, Vikas Reddy, Anirban Santara, Pabitra Mitra


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BASS Net: Band-Adaptive Spectral-Spatial Feature Learning Neural Network for Hyperspectral Image Classification


Dec 02, 2016
Anirban Santara, Kaustubh Mani, Pranoot Hatwar, Ankit Singh, Ankur Garg, Kirti Padia, Pabitra Mitra

* 8 pages, 10 figures, Submitted to IEEE TGRS, Code available at: https://github.com/kaustubh0mani/BASS-Net 

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WEPSAM: Weakly Pre-Learnt Saliency Model


May 03, 2016
Avisek Lahiri, Sourya Roy, Anirban Santara, Pabitra Mitra, Prabir Kumar Biswas


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