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Reparameterized Variational Divergence Minimization for Stable Imitation

Jun 18, 2020
Dilip Arumugam, Debadeepta Dey, Alekh Agarwal, Asli Celikyilmaz, Elnaz Nouri, Bill Dolan


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A Recipe for Creating Multimodal Aligned Datasets for Sequential Tasks

May 19, 2020
Angela S. Lin, Sudha Rao, Asli Celikyilmaz, Elnaz Nouri, Chris Brockett, Debadeepta Dey, Bill Dolan

* Association of Computational Linguistics 2020 
* This paper has been accepted to be published at ACL 2020 

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Efficient Forward Architecture Search

May 31, 2019
Hanzhang Hu, John Langford, Rich Caruana, Saurajit Mukherjee, Eric Horvitz, Debadeepta Dey

* preprint 

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Metareasoning in Modular Software Systems: On-the-Fly Configuration using Reinforcement Learning with Rich Contextual Representations

May 12, 2019
Aditya Modi, Debadeepta Dey, Alekh Agarwal, Adith Swaminathan, Besmira Nushi, Sean Andrist, Eric Horvitz

* 12 pages, 7 figures, 2 tables 

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Vision-based Navigation with Language-based Assistance via Imitation Learning with Indirect Intervention

Apr 06, 2019
Khanh Nguyen, Debadeepta Dey, Chris Brockett, Bill Dolan

* In CVPR 2019, 16 pages, appendix included 

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Learn-to-Score: Efficient 3D Scene Exploration by Predicting View Utility

Jul 31, 2018
Benjamin Hepp, Debadeepta Dey, Sudipta N. Sinha, Ashish Kapoor, Neel Joshi, Otmar Hilliges

* 16 pages, 7 figures, 5 tables 

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Learning Anytime Predictions in Neural Networks via Adaptive Loss Balancing

May 25, 2018
Hanzhang Hu, Debadeepta Dey, Martial Hebert, J. Andrew Bagnell


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Discovering Blind Spots in Reinforcement Learning

May 23, 2018
Ramya Ramakrishnan, Ece Kamar, Debadeepta Dey, Julie Shah, Eric Horvitz

* To appear at AAMAS 2018 

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Flight Dynamics-based Recovery of a UAV Trajectory using Ground Cameras

Nov 21, 2017
Artem Rozantsev, Sudipta N. Sinha, Debadeepta Dey, Pascal Fua


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Data-driven Planning via Imitation Learning

Nov 17, 2017
Sanjiban Choudhury, Mohak Bhardwaj, Sankalp Arora, Ashish Kapoor, Gireeja Ranade, Sebastian Scherer, Debadeepta Dey


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Log-DenseNet: How to Sparsify a DenseNet

Oct 30, 2017
Hanzhang Hu, Debadeepta Dey, Allison Del Giorno, Martial Hebert, J. Andrew Bagnell


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Submodular Trajectory Optimization for Aerial 3D Scanning

Aug 04, 2017
Mike Roberts, Debadeepta Dey, Anh Truong, Sudipta Sinha, Shital Shah, Ashish Kapoor, Pat Hanrahan, Neel Joshi

* Accepted for publication at the International Conference on Computer Vision (ICCV) 2017; Supplementary video: http://www.youtube.com/watch?v=89fFmfVZSO8 

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AirSim: High-Fidelity Visual and Physical Simulation for Autonomous Vehicles

Jul 18, 2017
Shital Shah, Debadeepta Dey, Chris Lovett, Ashish Kapoor

* Accepted for Field and Service Robotics conference 2017 (FSR 2017) 

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Adaptive Information Gathering via Imitation Learning

May 22, 2017
Sanjiban Choudhury, Ashish Kapoor, Gireeja Ranade, Sebastian Scherer, Debadeepta Dey

* Robotics Science and Systems, 2017 

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Learning to Gather Information via Imitation

Nov 13, 2016
Sanjiban Choudhury, Ashish Kapoor, Gireeja Ranade, Debadeepta Dey


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Probabilistic Safety Programs

Oct 17, 2016
Ashish Kapoor, Debadeepta Dey, Shital Shah


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Risk-Aware Algorithms for Adversarial Contextual Bandits

Oct 17, 2016
Wen Sun, Debadeepta Dey, Ashish Kapoor

* 28 pages 

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No-Regret Replanning under Uncertainty

Sep 16, 2016
Wen Sun, Niteesh Sood, Debadeepta Dey, Gireeja Ranade, Siddharth Prakash, Ashish Kapoor

* 8 pages 

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Robust Monocular Flight in Cluttered Outdoor Environments

Apr 16, 2016
Shreyansh Daftry, Sam Zeng, Arbaaz Khan, Debadeepta Dey, Narek Melik-Barkhudarov, J. Andrew Bagnell, Martial Hebert


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Vision and Learning for Deliberative Monocular Cluttered Flight

Nov 24, 2014
Debadeepta Dey, Kumar Shaurya Shankar, Sam Zeng, Rupesh Mehta, M. Talha Agcayazi, Christopher Eriksen, Shreyansh Daftry, Martial Hebert, J. Andrew Bagnell


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Knapsack Constrained Contextual Submodular List Prediction with Application to Multi-document Summarization

Mar 15, 2014
Jiaji Zhou, Stephane Ross, Yisong Yue, Debadeepta Dey, J. Andrew Bagnell

* 8 pages, ICML 2013 Workshop on Inferning: Interactions between Inference and Learning 

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Learning Policies for Contextual Submodular Prediction

May 11, 2013
Stephane Ross, Jiaji Zhou, Yisong Yue, Debadeepta Dey, J. Andrew Bagnell

* 13 pages. To appear in proceedings of the International Conference on Machine Learning (ICML), 2013 

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Learning Monocular Reactive UAV Control in Cluttered Natural Environments

Nov 07, 2012
Stephane Ross, Narek Melik-Barkhudarov, Kumar Shaurya Shankar, Andreas Wendel, Debadeepta Dey, J. Andrew Bagnell, Martial Hebert

* 8 pages, 10 figures 

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Predicting Contextual Sequences via Submodular Function Maximization

Feb 09, 2012
Debadeepta Dey, Tian Yu Liu, Martial Hebert, J. Andrew Bagnell

* 8 pages 

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