Debadeepta Dey

Publication Activity (10 Years)

Years Active: 2009-2023
Publications (10 Years): 53

Top Topics

Outdoor Environments

Neural Architecture

Imitation Learning

Top Venues

Publications

Ganesh Jawahar, Subhabrata Mukherjee, Debadeepta Dey, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan, Caio Mendes, Gustavo de Rosa, Shital Shah
Small Character Models Match Large Word Models for Autocomplete Under Memory Constraints. SustaiNLP (2023)
Yuhong Li, Tianle Cai, Yi Zhang, Deming Chen, Debadeepta Dey
What Makes Convolutional Models Great on Long Sequence Modeling? ICLR (2023)
Colin White, Mahmoud Safari, Rhea Sukthanker, Binxin Ru, Thomas Elsken, Arber Zela, Debadeepta Dey, Frank Hutter
Neural Architecture Search: Insights from 1000 Papers. CoRR (2023)
Mojan Javaheripi, Gustavo de Rosa, Subhabrata Mukherjee, Shital Shah, Tomasz Religa, Caio Cesar Teodoro Mendes, Sébastien Bubeck, Farinaz Koushanfar, Debadeepta Dey
LiteTransformerSearch: Training-free Neural Architecture Search for Efficient Language Models. NeurIPS (2022)
Yuhong Li, Tianle Cai, Yi Zhang, Deming Chen, Debadeepta Dey
What Makes Convolutional Models Great on Long Sequence Modeling? CoRR (2022)
Matthew Marge, Carol Y. Espy-Wilson, Nigel G. Ward, Abeer Alwan, Yoav Artzi, Mohit Bansal, Gilmer L. Blankenship, Joyce Chai, Hal Daumé III, Debadeepta Dey, Mary P. Harper, Thomas Howard, Casey Kennington, Ivana Kruijff-Korbayová, Dinesh Manocha, Cynthia Matuszek, Ross Mead, Raymond Mooney, Roger K. Moore, Mari Ostendorf, Heather Pon-Barry, Alexander I. Rudnicky, Matthias Scheutz, Robert St. Amant, Tong Sun, Stefanie Tellex, David R. Traum, Zhou Yu
Spoken language interaction with robots: Recommendations for future research. Comput. Speech Lang. 71 (2022)
Mojan Javaheripi, Shital Shah, Subhabrata Mukherjee, Tomasz L. Religa, Caio C. T. Mendes, Gustavo H. de Rosa, Sébastien Bubeck, Farinaz Koushanfar, Debadeepta Dey
LiteTransformerSearch: Training-free On-device Search for Efficient Autoregressive Language Models. CoRR (2022)
Ganesh Jawahar, Subhabrata Mukherjee, Debadeepta Dey, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan, Caio César Teodoro Mendes, Gustavo Henrique de Rosa, Shital Shah
Small Character Models Match Large Word Models for Autocomplete Under Memory Constraints. CoRR (2022)
Dongkuan Xu, Subhabrata Mukherjee, Xiaodong Liu, Debadeepta Dey, Wenhui Wang, Xiang Zhang, Ahmed Hassan Awadallah, Jianfeng Gao
Few-shot Task-agnostic Neural Architecture Search for Distilling Large Language Models. NeurIPS (2022)
Sharath Girish, Debadeepta Dey, Neel Joshi, Vibhav Vineet, Shital Shah, Caio César Teodoro Mendes, Abhinav Shrivastava, Yale Song
One Network Doesn't Rule Them All: Moving Beyond Handcrafted Architectures in Self-Supervised Learning. CoRR (2022)
Dongkuan Xu, Subhabrata Mukherjee, Xiaodong Liu, Debadeepta Dey, Wenhui Wang, Xiang Zhang, Ahmed Hassan Awadallah, Jianfeng Gao
AutoDistil: Few-shot Task-agnostic Neural Architecture Search for Distilling Large Language Models. CoRR (2022)
Debadeepta Dey, Shital Shah, Sébastien Bubeck
FEAR: A Simple Lightweight Method to Rank Architectures. CoRR (2021)
Jack Kosaian, Amar Phanishayee, Matthai Philipose, Debadeepta Dey, Rashmi Vinayak
Boosting the Throughput and Accelerator Utilization of Specialized CNN Inference Beyond Increasing Batch Size. ICML (2021)
Angela S. Lin, Sudha Rao, Asli Celikyilmaz, Elnaz Nouri, Chris Brockett, Debadeepta Dey, Bill Dolan
A Recipe for Creating Multimodal Aligned Datasets for Sequential Tasks. ACL (2020)
Dilip Arumugam, Debadeepta Dey, Alekh Agarwal, Asli Celikyilmaz, Elnaz Nouri, Bill Dolan
Reparameterized Variational Divergence Minimization for Stable Imitation. CoRR (2020)
Florian Achermann, Andrey Kolobov, Debadeepta Dey, Timo Hinzmann, Jen Jen Chung, Roland Siegwart, Nicholas R. J. Lawrance
MultiPoint: Cross-spectral registration of thermal and optical aerial imagery. CoRL (2020)
Aditya Modi, Debadeepta Dey, Alekh Agarwal, Adith Swaminathan, Besmira Nushi, Sean Andrist, Eric Horvitz
Metareasoning in Modular Software Systems: On-the-Fly Configuration Using Reinforcement Learning with Rich Contextual Representations. AAAI (2020)
Roshan Rao, Sudha Rao, Elnaz Nouri, Debadeepta Dey, Asli Celikyilmaz, Bill Dolan
Quality and Relevance Metrics for Selection of Multimodal Pretraining Data. CVPR Workshops (2020)
Ramya Ramakrishnan, Ece Kamar, Debadeepta Dey, Eric Horvitz, Julie Shah
Blind Spot Detection for Safe Sim-to-Real Transfer. J. Artif. Intell. Res. 67 (2020)
Angela S. Lin, Sudha Rao, Asli Celikyilmaz, Elnaz Nouri, Chris Brockett, Debadeepta Dey, Bill Dolan
A Recipe for Creating Multimodal Aligned Datasets for Sequential Tasks. CoRR (2020)
Hanzhang Hu, John Langford, Rich Caruana, Saurajit Mukherjee, Eric Horvitz, Debadeepta Dey
Efficient Forward Architecture Search. CoRR (2019)
Hanzhang Hu, Debadeepta Dey, Martial Hebert, J. Andrew Bagnell
Learning Anytime Predictions in Neural Networks via Adaptive Loss Balancing. AAAI (2019)
Khanh Nguyen, Debadeepta Dey, Chris Brockett, Bill Dolan
Vision-Based Navigation With Language-Based Assistance via Imitation Learning With Indirect Intervention. CVPR (2019)
Ramya Ramakrishnan, Ece Kamar, Besmira Nushi, Debadeepta Dey, Julie Shah, Eric Horvitz
Overcoming Blind Spots in the Real World: Leveraging Complementary Abilities for Joint Execution. AAAI (2019)
Hanzhang Hu, John Langford, Rich Caruana, Saurajit Mukherjee, Eric Horvitz, Debadeepta Dey
Efficient Forward Architecture Search. NeurIPS (2019)
Aditya Modi, Debadeepta Dey, Alekh Agarwal, Adith Swaminathan, Besmira Nushi, Sean Andrist, Eric Horvitz
Metareasoning in Modular Software Systems: On-the-Fly Configuration using Reinforcement Learning with Rich Contextual Representations. CoRR (2019)
Ramya Ramakrishnan, Ece Kamar, Debadeepta Dey, Julie A. Shah, Eric Horvitz
Discovering Blind Spots in Reinforcement Learning. CoRR (2018)
Ramya Ramakrishnan, Ece Kamar, Debadeepta Dey, Julie A. Shah, Eric Horvitz
Discovering Blind Spots in Reinforcement Learning. AAMAS (2018)
Khanh Nguyen, Debadeepta Dey, Chris Brockett, Bill Dolan
Vision-based Navigation with Language-based Assistance via Imitation Learning with Indirect Intervention. CoRR (2018)
Elizabeth Bondi, Ashish Kapoor, Debadeepta Dey, James Piavis, Shital Shah, Robert Hannaford, Arvind Iyer, Lucas Joppa, Milind Tambe
Near Real-Time Detection of Poachers from Drones in AirSim. IJCAI (2018)
Benjamin Hepp, Debadeepta Dey, Sudipta N. Sinha, Ashish Kapoor, Neel Joshi, Otmar Hilliges
Learn-to-Score: Efficient 3D Scene Exploration by Predicting View Utility. ECCV (15) (2018)
Elizabeth Bondi, Debadeepta Dey, Ashish Kapoor, Jim Piavis, Shital Shah, Fei Fang, Bistra Dilkina, Robert Hannaford, Arvind Iyer, Lucas Joppa, Milind Tambe
AirSim-W: A Simulation Environment for Wildlife Conservation with UAVs. COMPASS (2018)
Sanjiban Choudhury, Mohak Bhardwaj, Sankalp Arora, Ashish Kapoor, Gireeja Ranade, Sebastian A. Scherer, Debadeepta Dey
Data-driven planning via imitation learning. Int. J. Robotics Res. 37 (13-14) (2018)
Benjamin Hepp, Debadeepta Dey, Sudipta N. Sinha, Ashish Kapoor, Neel Joshi, Otmar Hilliges
Learn-to-Score: Efficient 3D Scene Exploration by Predicting View Utility. CoRR (2018)
Sanjiban Choudhury, Ashish Kapoor, Gireeja Ranade, Sebastian A. Scherer, Debadeepta Dey
Adaptive Information Gathering via Imitation Learning. Robotics: Science and Systems (2017)
Mike Roberts, Shital Shah, Debadeepta Dey, Anh Truong, Sudipta N. Sinha, Ashish Kapoor, Pat Hanrahan, Neel Joshi
Submodular Trajectory Optimization for Aerial 3D Scanning. ICCV (2017)
Sanjiban Choudhury, Mohak Bhardwaj, Sankalp Arora, Ashish Kapoor, Gireeja Ranade, Sebastian A. Scherer, Debadeepta Dey
Data-driven Planning via Imitation Learning. CoRR (2017)
Sanjiban Choudhury, Ashish Kapoor, Gireeja Ranade, Sebastian A. Scherer, Debadeepta Dey
Adaptive Information Gathering via Imitation Learning. CoRR (2017)
Hanzhang Hu, Debadeepta Dey, J. Andrew Bagnell, Martial Hebert
Anytime Neural Networks via Joint Optimization of Auxiliary Losses. CoRR (2017)
Wen Sun, Debadeepta Dey, Ashish Kapoor
Safety-Aware Algorithms for Adversarial Contextual Bandit. ICML (2017)
Shital Shah, Debadeepta Dey, Chris Lovett, Ashish Kapoor
AirSim: High-Fidelity Visual and Physical Simulation for Autonomous Vehicles. CoRR (2017)
Mike Roberts, Debadeepta Dey, Anh Truong, Sudipta N. Sinha, Shital Shah, Ashish Kapoor, Pat Hanrahan, Neel Joshi
Submodular Trajectory Optimization for Aerial 3D Scanning. CoRR (2017)
Hanzhang Hu, Debadeepta Dey, Allison Del Giorno, Martial Hebert, J. Andrew Bagnell
Log-DenseNet: How to Sparsify a DenseNet. CoRR (2017)
Artem Rozantsev, Sudipta N. Sinha, Debadeepta Dey, Pascal Fua
Flight Dynamics-Based Recovery of a UAV Trajectory Using Ground Cameras. CVPR (2017)
Wen Sun, Niteesh Sood, Debadeepta Dey, Gireeja Ranade, Siddharth Prakash, Ashish Kapoor
No-regret replanning under uncertainty. ICRA (2017)
Shital Shah, Debadeepta Dey, Chris Lovett, Ashish Kapoor
AirSim: High-Fidelity Visual and Physical Simulation for Autonomous Vehicles. FSR (2017)
Sanjiban Choudhury, Ashish Kapoor, Gireeja Ranade, Debadeepta Dey
Learning to gather information via imitation. ICRA (2017)
Sanjiban Choudhury, Ashish Kapoor, Gireeja Ranade, Debadeepta Dey
Learning to Gather Information via Imitation. CoRR (2016)
Artem Rozantsev, Sudipta N. Sinha, Debadeepta Dey, Pascal Fua
Flight Dynamics-based Recovery of a UAV Trajectory using Ground Cameras. CoRR (2016)
Ashish Kapoor, Debadeepta Dey, Shital Shah
Probabilistic Safety Programs. CoRR (2016)
Wen Sun, Niteesh Sood, Debadeepta Dey, Gireeja Ranade, Siddharth Prakash, Ashish Kapoor
No-Regret Replanning under Uncertainty. CoRR (2016)
Wen Sun, Debadeepta Dey, Ashish Kapoor
Risk-Aware Algorithms for Adversarial Contextual Bandits. CoRR (2016)
Shreyansh Daftry, Sam Zeng, Arbaaz Khan, Debadeepta Dey, Narek Melik-Barkhudarov, J. Andrew Bagnell, Martial Hebert
Robust Monocular Flight in Cluttered Outdoor Environments. CoRR (2016)
Debadeepta Dey, Varun Ramakrishna, Martial Hebert, J. Andrew Bagnell
Predicting Multiple Structured Visual Interpretations. ICCV (2015)
Debadeepta Dey, Kumar Shaurya Shankar, Sam Zeng, Rupesh Mehta, M. Talha Agcayazi, Christopher Eriksen, Shreyansh Daftry, Martial Hebert, J. Andrew Bagnell
Vision and Learning for Deliberative Monocular Cluttered Flight. FSR (2015)
Debadeepta Dey, Andrey Kolobov, Rich Caruana, Ece Kamar, Eric Horvitz, Ashish Kapoor
Gauss meets Canadian traveler: shortest-path problems with correlated natural dynamics. AAMAS (2014)
Debadeepta Dey, Kumar Shaurya Shankar, Sam Zeng, Rupesh Mehta, M. Talha Agcayazi, Christopher Eriksen, Shreyansh Daftry, Martial Hebert, J. Andrew Bagnell
Vision and Learning for Deliberative Monocular Cluttered Flight. CoRR (2014)
Jiaji Zhou, Stéphane Ross, Yisong Yue, Debadeepta Dey, J. Andrew Bagnell
Knapsack Constrained Contextual Submodular List Prediction with Application to Multi-document Summarization. CoRR (2013)
Stéphane Ross, Jiaji Zhou, Yisong Yue, Debadeepta Dey, J. Andrew Bagnell
Learning Policies for Contextual Submodular Prediction CoRR (2013)
Stéphane Ross, Jiaji Zhou, Yisong Yue, Debadeepta Dey, Drew Bagnell
Learning Policies for Contextual Submodular Prediction. ICML (3) (2013)
Stéphane Ross, Narek Melik-Barkhudarov, Kumar Shaurya Shankar, Andreas Wendel, Debadeepta Dey, J. Andrew Bagnell, Martial Hebert
Learning monocular reactive UAV control in cluttered natural environments. ICRA (2013)
Debadeepta Dey, Tian Yu Liu, Martial Hebert, J. Andrew Bagnell
Contextual Sequence Prediction with Application to Control Library Optimization. Robotics: Science and Systems (2012)
Debadeepta Dey, Tian Yu Liu, Boris Sofman, James Andrew Bagnell
Efficient Optimization of Control Libraries. AAAI (2012)
Debadeepta Dey, Lily B. Mummert, Rahul Sukthankar
Classification of plant structures from uncalibrated image sequences. WACV (2012)
Stéphane Ross, Narek Melik-Barkhudarov, Kumar Shaurya Shankar, Andreas Wendel, Debadeepta Dey, J. Andrew Bagnell, Martial Hebert
Learning Monocular Reactive UAV Control in Cluttered Natural Environments CoRR (2012)
Debadeepta Dey, Tian Yu Liu, Martial Hebert, J. Andrew Bagnell
Predicting Contextual Sequences via Submodular Function Maximization CoRR (2012)
Debadeepta Dey, Christopher Geyer, Sanjiv Singh, Matthew Digioia
A cascaded method to detect aircraft in video imagery. Int. J. Robotics Res. 30 (12) (2011)
Debadeepta Dey, Christopher Geyer, Sanjiv Singh, Matthew Digioia
Passive, Long-Range Detection of Aircraft: Towards a Field Deployable Sense and Avoid System. FSR (2009)