Debadeepta Dey

According to our database, Debadeepta Dey authored at least 51 papers between 2009 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Neural Architecture Search: Insights from 1000 Papers.

Colin White, Mahmoud Safari, Rhea Sukthanker, Binxin Ru, Thomas Elsken, Arber Zela, Debadeepta Dey, Frank Hutter

CoRR, 2023

Small Character Models Match Large Word Models for Autocomplete Under Memory Constraints.

Ganesh Jawahar, Subhabrata Mukherjee, Debadeepta Dey, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan, Caio C. T. Mendes, Gustavo Henrique de Rosa, Shital Shah

Proceedings of The Fourth Workshop on Simple and Efficient Natural Language Processing, 2023

What Makes Convolutional Models Great on Long Sequence Modeling?

Yuhong Li, Tianle Cai, Yi Zhang, Deming Chen, Debadeepta Dey

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Spoken language interaction with robots: Recommendations for future research.

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 J. 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

Comput. Speech Lang., 2022

One Network Doesn't Rule Them All: Moving Beyond Handcrafted Architectures in Self-Supervised Learning.

Sharath Girish, Debadeepta Dey, Neel Joshi, Vibhav Vineet, Shital Shah, Caio César Teodoro Mendes, Abhinav Shrivastava, Yale Song

CoRR, 2022

LiteTransformerSearch: Training-free On-device Search for Efficient Autoregressive Language Models.

Mojan Javaheripi, Shital Shah, Subhabrata Mukherjee, Tomasz L. Religa, Caio C. T. Mendes, Gustavo H. de Rosa, Sébastien Bubeck, Farinaz Koushanfar, Debadeepta Dey

CoRR, 2022

AutoDistil: Few-shot Task-agnostic Neural Architecture Search for Distilling Large Language Models.

Dongkuan Xu, Subhabrata Mukherjee, Xiaodong Liu, Debadeepta Dey, Wenhui Wang, Xiang Zhang, Ahmed Hassan Awadallah, Jianfeng Gao

CoRR, 2022

Few-shot Task-agnostic Neural Architecture Search for Distilling Large Language Models.

Dongkuan Xu, Subhabrata Mukherjee, Xiaodong Liu, Debadeepta Dey, Wenhui Wang, Xiang Zhang, Ahmed Hassan Awadallah, Jianfeng Gao

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

LiteTransformerSearch: Training-free Neural Architecture Search for Efficient Language Models.

Mojan Javaheripi, Gustavo de Rosa, Subhabrata Mukherjee, Shital Shah, Tomasz Religa, Caio César Teodoro Mendes, Sébastien Bubeck, Farinaz Koushanfar, Debadeepta Dey

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

FEAR: A Simple Lightweight Method to Rank Architectures.

Debadeepta Dey, Shital Shah, Sébastien Bubeck

CoRR, 2021

Boosting the Throughput and Accelerator Utilization of Specialized CNN Inference Beyond Increasing Batch Size.

Jack Kosaian, Amar Phanishayee, Matthai Philipose, Debadeepta Dey, Rashmi Vinayak

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Blind Spot Detection for Safe Sim-to-Real Transfer.

Ramya Ramakrishnan, Ece Kamar, Debadeepta Dey, Eric Horvitz, Julie Shah

J. Artif. Intell. Res., 2020

Reparameterized Variational Divergence Minimization for Stable Imitation.

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

CoRR, 2020

Quality and Relevance Metrics for Selection of Multimodal Pretraining Data.

Roshan Rao, Sudha Rao, Elnaz Nouri, Debadeepta Dey, Asli Celikyilmaz, Bill Dolan

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

MultiPoint: Cross-spectral registration of thermal and optical aerial imagery.

Florian Achermann, Andrey Kolobov, Debadeepta Dey, Timo Hinzmann, Jen Jen Chung, Roland Siegwart, Nicholas R. J. Lawrance

Proceedings of the 4th Conference on Robot Learning, 2020

A Recipe for Creating Multimodal Aligned Datasets for Sequential Tasks.

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

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

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

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

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Efficient Forward Architecture Search.

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

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Vision-Based Navigation With Language-Based Assistance via Imitation Learning With Indirect Intervention.

Khanh Nguyen, Debadeepta Dey, Chris Brockett, Bill Dolan

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Overcoming Blind Spots in the Real World: Leveraging Complementary Abilities for Joint Execution.

Ramya Ramakrishnan, Ece Kamar, Besmira Nushi, Debadeepta Dey, Julie Shah, Eric Horvitz

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Learning Anytime Predictions in Neural Networks via Adaptive Loss Balancing.

Hanzhang Hu, Debadeepta Dey, Martial Hebert, J. Andrew Bagnell

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Data-driven planning via imitation learning.

Sanjiban Choudhury, Mohak Bhardwaj, Sankalp Arora, Ashish Kapoor, Gireeja Ranade, Sebastian A. Scherer, Debadeepta Dey

Int. J. Robotics Res., 2018

Near Real-Time Detection of Poachers from Drones in AirSim.

Elizabeth Bondi, Ashish Kapoor, Debadeepta Dey, James Piavis, Shital Shah, Robert Hannaford, Arvind Iyer, Lucas Joppa, Milind Tambe

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

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

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

Proceedings of the Computer Vision - ECCV 2018, 2018

AirSim-W: A Simulation Environment for Wildlife Conservation with UAVs.

Elizabeth Bondi, Debadeepta Dey, Ashish Kapoor, Jim Piavis, Shital Shah, Fei Fang, Bistra Dilkina, Robert Hannaford, Arvind Iyer, Lucas Joppa, Milind Tambe

Proceedings of the 1st ACM SIGCAS Conference on Computing and Sustainable Societies, 2018

Discovering Blind Spots in Reinforcement Learning.

Ramya Ramakrishnan, Ece Kamar, Debadeepta Dey, Julie A. Shah, Eric Horvitz

Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

2017

Log-DenseNet: How to Sparsify a DenseNet.

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

CoRR, 2017

Anytime Neural Networks via Joint Optimization of Auxiliary Losses.

Hanzhang Hu, Debadeepta Dey, J. Andrew Bagnell, Martial Hebert

CoRR, 2017

Adaptive Information Gathering via Imitation Learning.

Sanjiban Choudhury, Ashish Kapoor, Gireeja Ranade, Sebastian A. Scherer, Debadeepta Dey

Proceedings of the Robotics: Science and Systems XIII, 2017

No-regret replanning under uncertainty.

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

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Learning to gather information via imitation.

Sanjiban Choudhury, Ashish Kapoor, Gireeja Ranade, Debadeepta Dey

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Safety-Aware Algorithms for Adversarial Contextual Bandit.

Wen Sun, Debadeepta Dey, Ashish Kapoor

Proceedings of the 34th International Conference on Machine Learning, 2017

Submodular Trajectory Optimization for Aerial 3D Scanning.

Mike Roberts, Shital Shah, Debadeepta Dey, Anh Truong, Sudipta N. Sinha, Ashish Kapoor, Pat Hanrahan, Neel Joshi

Proceedings of the IEEE International Conference on Computer Vision, 2017

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

Shital Shah, Debadeepta Dey, Chris Lovett, Ashish Kapoor

Proceedings of the Field and Service Robotics, 2017

Flight Dynamics-Based Recovery of a UAV Trajectory Using Ground Cameras.

Artem Rozantsev, Sudipta N. Sinha, Debadeepta Dey, Pascal Fua

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Risk-Aware Algorithms for Adversarial Contextual Bandits.

Wen Sun, Debadeepta Dey, Ashish Kapoor

CoRR, 2016

Probabilistic Safety Programs.

Ashish Kapoor, Debadeepta Dey, Shital Shah

CoRR, 2016

Robust Monocular Flight in Cluttered Outdoor Environments.

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

CoRR, 2016

2015

Predicting Sets and Lists: Theory and Practice.

Debadeepta Dey

PhD thesis, 2015

Predicting Multiple Structured Visual Interpretations.

Debadeepta Dey, Varun Ramakrishna, Martial Hebert, J. Andrew Bagnell

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Vision and Learning for Deliberative Monocular Cluttered Flight.

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

Proceedings of the Field and Service Robotics, 2015

2014

Gauss meets Canadian traveler: shortest-path problems with correlated natural dynamics.

Debadeepta Dey, Andrey Kolobov, Rich Caruana, Ece Kamar, Eric Horvitz, Ashish Kapoor

Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014

2013

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

Jiaji Zhou, Stéphane Ross, Yisong Yue, Debadeepta Dey, J. Andrew Bagnell

CoRR, 2013

Learning monocular reactive UAV control in cluttered natural environments.

Stéphane Ross, Narek Melik-Barkhudarov, Kumar Shaurya Shankar, Andreas Wendel, Debadeepta Dey, J. Andrew Bagnell, Martial Hebert

Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

Learning Policies for Contextual Submodular Prediction.

Stéphane Ross, Jiaji Zhou, Yisong Yue, Debadeepta Dey, Drew Bagnell

Proceedings of the 30th International Conference on Machine Learning, 2013

2012

Predicting Contextual Sequences via Submodular Function Maximization

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

CoRR, 2012

Classification of plant structures from uncalibrated image sequences.

Debadeepta Dey, Lily B. Mummert, Rahul Sukthankar

Proceedings of the IEEE Workshop on Applications of Computer Vision, 2012

Contextual Sequence Prediction with Application to Control Library Optimization.

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

Proceedings of the Robotics: Science and Systems VIII, 2012

Efficient Optimization of Control Libraries.

Debadeepta Dey, Tian Yu Liu, Boris Sofman, James Andrew Bagnell

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011

A cascaded method to detect aircraft in video imagery.

Debadeepta Dey, Christopher Geyer, Sanjiv Singh, Matthew Digioia

Int. J. Robotics Res., 2011

2009

Passive, Long-Range Detection of Aircraft: Towards a Field Deployable Sense and Avoid System.

Debadeepta Dey, Christopher Geyer, Sanjiv Singh, Matthew Digioia

Proceedings of the Field and Service Robotics, Results of the 7th International Conference, 2009