Debadeepta Dey

71 papers A* 19A 3C 1Misc 1Journal 36Unranked 10

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	syftr: Pareto-Optimal Generative AI. AutoML Alexander Conway, Debadeepta Dey, Stefan Hackmann, Matthew Hausknecht, Michael Douglas Schmidt, Mark Steadman, Nick Volynets
2025	J	`jnl`	syftr: Pareto-Optimal Generative AI. CoRR Alexander Conway, Debadeepta Dey, Stefan Hackmann, Matthew Hausknecht, Michael D. Schmidt, Mark Steadman, Nick Volynets
2023	J	`jnl`	Neural Architecture Search: Insights from 1000 Papers. CoRR Colin White, Mahmoud Safari, Rhea Sanjay Sukthanker, Binxin Ru, Thomas Elsken, Arber Zela, Debadeepta Dey, Frank Hutter
2023	—	`conf`	Small Character Models Match Large Word Models for Autocomplete Under Memory Constraints. SustaiNLP Ganesh Jawahar, Subhabrata Mukherjee, Debadeepta Dey, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan, Caio C. T. Mendes, Gustavo Henrique de Rosa, Shital Shah
2023	A*	`conf`	What Makes Convolutional Models Great on Long Sequence Modeling? ICLR Yuhong Li, Tianle Cai, Yi Zhang, Deming Chen, Debadeepta Dey
2022	J	`jnl`	AutoDistil: Few-shot Task-agnostic Neural Architecture Search for Distilling Large Language Models. CoRR Dongkuan Xu, Subhabrata Mukherjee, Xiaodong Liu, Debadeepta Dey, Wenhui Wang, Xiang Zhang, Ahmed Hassan Awadallah, Jianfeng Gao
2022	A*	`conf`	Few-shot Task-agnostic Neural Architecture Search for Distilling Large Language Models. NeurIPS Dongkuan Xu, Subhabrata Mukherjee, Xiaodong Liu, Debadeepta Dey, Wenhui Wang, Xiang Zhang, Ahmed Hassan Awadallah, Jianfeng Gao
2022	A*	`conf`	LiteTransformerSearch: Training-free Neural Architecture Search for Efficient Language Models. NeurIPS Mojan Javaheripi, Gustavo de Rosa, Subhabrata Mukherjee, Shital Shah, Tomasz Religa, Caio César Teodoro Mendes, Sébastien Bubeck, Farinaz Koushanfar, Debadeepta Dey
2022	J	`jnl`	LiteTransformerSearch: Training-free On-device Search for Efficient Autoregressive Language Models. CoRR Mojan Javaheripi, Shital Shah, Subhabrata Mukherjee, Tomasz L. Religa, Caio C. T. Mendes, Gustavo H. de Rosa, Sébastien Bubeck, Farinaz Koushanfar, Debadeepta Dey
2022	J	`jnl`	One Network Doesn't Rule Them All: Moving Beyond Handcrafted Architectures in Self-Supervised Learning. CoRR Sharath Girish, Debadeepta Dey, Neel Joshi, Vibhav Vineet, Shital Shah, Caio César Teodoro Mendes, Abhinav Shrivastava, Yale Song
2022	J	`jnl`	Small Character Models Match Large Word Models for Autocomplete Under Memory Constraints. CoRR Ganesh Jawahar, Subhabrata Mukherjee, Debadeepta Dey, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan, Caio César Teodoro Mendes, Gustavo Henrique de Rosa, Shital Shah
2022	J	`jnl`	Spoken language interaction with robots: Recommendations for future research. Comput. Speech Lang. 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
2022	J	`jnl`	What Makes Convolutional Models Great on Long Sequence Modeling? CoRR Yuhong Li, Tianle Cai, Yi Zhang, Deming Chen, Debadeepta Dey
2021	A*	`conf`	Boosting the Throughput and Accelerator Utilization of Specialized CNN Inference Beyond Increasing Batch Size. ICML Jack Kosaian, Amar Phanishayee, Matthai Philipose, Debadeepta Dey, Rashmi Vinayak
2021	J	`jnl`	FEAR: A Simple Lightweight Method to Rank Architectures. CoRR Debadeepta Dey, Shital Shah, Sébastien Bubeck
2020	A*	`conf`	A Recipe for Creating Multimodal Aligned Datasets for Sequential Tasks. ACL Angela S. Lin, Sudha Rao, Asli Celikyilmaz, Elnaz Nouri, Chris Brockett, Debadeepta Dey, Bill Dolan
2020	J	`jnl`	A Recipe for Creating Multimodal Aligned Datasets for Sequential Tasks. CoRR Angela S. Lin, Sudha Rao, Asli Celikyilmaz, Elnaz Nouri, Chris Brockett, Debadeepta Dey, Bill Dolan
2020	J	`jnl`	Blind Spot Detection for Safe Sim-to-Real Transfer. J. Artif. Intell. Res. Ramya Ramakrishnan, Ece Kamar, Debadeepta Dey, Eric Horvitz, Julie Shah
2020	A*	`conf`	Metareasoning in Modular Software Systems: On-the-Fly Configuration Using Reinforcement Learning with Rich Contextual Representations. AAAI Aditya Modi, Debadeepta Dey, Alekh Agarwal, Adith Swaminathan, Besmira Nushi, Sean Andrist, Eric Horvitz
2020	Misc	`conf`	MultiPoint: Cross-spectral registration of thermal and optical aerial imagery. CoRL Florian Achermann, Andrey Kolobov, Debadeepta Dey, Timo Hinzmann, Jen Jen Chung, Roland Siegwart, Nicholas R. J. Lawrance
2020	—	`conf`	Quality and Relevance Metrics for Selection of Multimodal Pretraining Data. CVPR Workshops Roshan Rao, Sudha Rao, Elnaz Nouri, Debadeepta Dey, Asli Celikyilmaz, Bill Dolan
2020	J	`jnl`	Reparameterized Variational Divergence Minimization for Stable Imitation. CoRR Dilip Arumugam, Debadeepta Dey, Alekh Agarwal, Asli Celikyilmaz, Elnaz Nouri, Bill Dolan
2019	A*	`conf`	Efficient Forward Architecture Search. NeurIPS Hanzhang Hu, John Langford, Rich Caruana, Saurajit Mukherjee, Eric Horvitz, Debadeepta Dey
2019	J	`jnl`	Efficient Forward Architecture Search. CoRR Hanzhang Hu, John Langford, Rich Caruana, Saurajit Mukherjee, Eric Horvitz, Debadeepta Dey
2019	A*	`conf`	Learning Anytime Predictions in Neural Networks via Adaptive Loss Balancing. AAAI Hanzhang Hu, Debadeepta Dey, Martial Hebert, J. Andrew Bagnell
2019	J	`jnl`	Metareasoning in Modular Software Systems: On-the-Fly Configuration using Reinforcement Learning with Rich Contextual Representations. CoRR Aditya Modi, Debadeepta Dey, Alekh Agarwal, Adith Swaminathan, Besmira Nushi, Sean Andrist, Eric Horvitz
2019	A*	`conf`	Overcoming Blind Spots in the Real World: Leveraging Complementary Abilities for Joint Execution. AAAI Ramya Ramakrishnan, Ece Kamar, Besmira Nushi, Debadeepta Dey, Julie Shah, Eric Horvitz
2019	A*	`conf`	Vision-Based Navigation With Language-Based Assistance via Imitation Learning With Indirect Intervention. CVPR Khanh Nguyen, Debadeepta Dey, Chris Brockett, Bill Dolan
2018	C	`conf`	AirSim-W: A Simulation Environment for Wildlife Conservation with UAVs. COMPASS Elizabeth Bondi, Debadeepta Dey, Ashish Kapoor, Jim Piavis, Shital Shah, Fei Fang, Bistra Dilkina, Robert Hannaford, Arvind Iyer, Lucas Joppa, Milind Tambe
2018	J	`jnl`	Data-driven planning via imitation learning. Int. J. Robotics Res. Sanjiban Choudhury, Mohak Bhardwaj, Sankalp Arora, Ashish Kapoor, Gireeja Ranade, Sebastian A. Scherer, Debadeepta Dey
2018	A	`conf`	Discovering Blind Spots in Reinforcement Learning. AAMAS Ramya Ramakrishnan, Ece Kamar, Debadeepta Dey, Julie A. Shah, Eric Horvitz
2018	J	`jnl`	Discovering Blind Spots in Reinforcement Learning. CoRR Ramya Ramakrishnan, Ece Kamar, Debadeepta Dey, Julie A. Shah, Eric Horvitz
2018	—	`conf`	Learn-to-Score: Efficient 3D Scene Exploration by Predicting View Utility. ECCV (15) Benjamin Hepp, Debadeepta Dey, Sudipta N. Sinha, Ashish Kapoor, Neel Joshi, Otmar Hilliges
2018	J	`jnl`	Learn-to-Score: Efficient 3D Scene Exploration by Predicting View Utility. CoRR Benjamin Hepp, Debadeepta Dey, Sudipta N. Sinha, Ashish Kapoor, Neel Joshi, Otmar Hilliges
2018	A*	`conf`	Near Real-Time Detection of Poachers from Drones in AirSim. IJCAI Elizabeth Bondi, Ashish Kapoor, Debadeepta Dey, James Piavis, Shital Shah, Robert Hannaford, Arvind Iyer, Lucas Joppa, Milind Tambe
2018	J	`jnl`	Vision-based Navigation with Language-based Assistance via Imitation Learning with Indirect Intervention. CoRR Khanh Nguyen, Debadeepta Dey, Chris Brockett, Bill Dolan
2017	—	`conf`	Adaptive Information Gathering via Imitation Learning. Robotics: Science and Systems Sanjiban Choudhury, Ashish Kapoor, Gireeja Ranade, Sebastian A. Scherer, Debadeepta Dey
2017	J	`jnl`	Adaptive Information Gathering via Imitation Learning. CoRR Sanjiban Choudhury, Ashish Kapoor, Gireeja Ranade, Sebastian A. Scherer, Debadeepta Dey
2017	—	`conf`	AirSim: High-Fidelity Visual and Physical Simulation for Autonomous Vehicles. FSR Shital Shah, Debadeepta Dey, Chris Lovett, Ashish Kapoor
2017	J	`jnl`	AirSim: High-Fidelity Visual and Physical Simulation for Autonomous Vehicles. CoRR Shital Shah, Debadeepta Dey, Chris Lovett, Ashish Kapoor
2017	J	`jnl`	Anytime Neural Networks via Joint Optimization of Auxiliary Losses. CoRR Hanzhang Hu, Debadeepta Dey, J. Andrew Bagnell, Martial Hebert
2017	J	`jnl`	Data-driven Planning via Imitation Learning. CoRR Sanjiban Choudhury, Mohak Bhardwaj, Sankalp Arora, Ashish Kapoor, Gireeja Ranade, Sebastian A. Scherer, Debadeepta Dey
2017	A*	`conf`	Flight Dynamics-Based Recovery of a UAV Trajectory Using Ground Cameras. CVPR Artem Rozantsev, Sudipta N. Sinha, Debadeepta Dey, Pascal Fua
2017	A*	`conf`	Learning to gather information via imitation. ICRA Sanjiban Choudhury, Ashish Kapoor, Gireeja Ranade, Debadeepta Dey
2017	J	`jnl`	Log-DenseNet: How to Sparsify a DenseNet. CoRR Hanzhang Hu, Debadeepta Dey, Allison Del Giorno, Martial Hebert, J. Andrew Bagnell
2017	A*	`conf`	No-regret replanning under uncertainty. ICRA Wen Sun, Niteesh Sood, Debadeepta Dey, Gireeja Ranade, Siddharth Prakash, Ashish Kapoor
2017	A*	`conf`	Safety-Aware Algorithms for Adversarial Contextual Bandit. ICML Wen Sun, Debadeepta Dey, Ashish Kapoor
2017	A*	`conf`	Submodular Trajectory Optimization for Aerial 3D Scanning. ICCV Mike Roberts, Shital Shah, Debadeepta Dey, Anh Truong, Sudipta N. Sinha, Ashish Kapoor, Pat Hanrahan, Neel Joshi
2017	J	`jnl`	Submodular Trajectory Optimization for Aerial 3D Scanning. CoRR Mike Roberts, Debadeepta Dey, Anh Truong, Sudipta N. Sinha, Shital Shah, Ashish Kapoor, Pat Hanrahan, Neel Joshi
2016	J	`jnl`	Flight Dynamics-based Recovery of a UAV Trajectory using Ground Cameras. CoRR Artem Rozantsev, Sudipta N. Sinha, Debadeepta Dey, Pascal Fua
2016	J	`jnl`	Learning to Gather Information via Imitation. CoRR Sanjiban Choudhury, Ashish Kapoor, Gireeja Ranade, Debadeepta Dey
2016	J	`jnl`	No-Regret Replanning under Uncertainty. CoRR Wen Sun, Niteesh Sood, Debadeepta Dey, Gireeja Ranade, Siddharth Prakash, Ashish Kapoor
2016	J	`jnl`	Probabilistic Safety Programs. CoRR Ashish Kapoor, Debadeepta Dey, Shital Shah
2016	J	`jnl`	Risk-Aware Algorithms for Adversarial Contextual Bandits. CoRR Wen Sun, Debadeepta Dey, Ashish Kapoor
2016	J	`jnl`	Robust Monocular Flight in Cluttered Outdoor Environments. CoRR Shreyansh Daftry, Sam Zeng, Arbaaz Khan, Debadeepta Dey, Narek Melik-Barkhudarov, J. Andrew Bagnell, Martial Hebert
2015	A*	`conf`	Predicting Multiple Structured Visual Interpretations. ICCV Debadeepta Dey, Varun Ramakrishna, Martial Hebert, J. Andrew Bagnell
2015	—	`—`	Predicting Sets and Lists: Theory and Practice. Debadeepta Dey
2015	—	`conf`	Vision and Learning for Deliberative Monocular Cluttered Flight. FSR Debadeepta Dey, Kumar Shaurya Shankar, Sam Zeng, Rupesh Mehta, M. Talha Agcayazi, Christopher Eriksen, Shreyansh Daftry, Martial Hebert, J. Andrew Bagnell
2014	A	`conf`	Gauss meets Canadian traveler: shortest-path problems with correlated natural dynamics. AAMAS Debadeepta Dey, Andrey Kolobov, Rich Caruana, Ece Kamar, Eric Horvitz, Ashish Kapoor
2014	J	`jnl`	Vision and Learning for Deliberative Monocular Cluttered Flight. CoRR Debadeepta Dey, Kumar Shaurya Shankar, Sam Zeng, Rupesh Mehta, M. Talha Agcayazi, Christopher Eriksen, Shreyansh Daftry, Martial Hebert, J. Andrew Bagnell
2013	J	`jnl`	Knapsack Constrained Contextual Submodular List Prediction with Application to Multi-document Summarization. CoRR Jiaji Zhou, Stéphane Ross, Yisong Yue, Debadeepta Dey, J. Andrew Bagnell
2013	J	`jnl`	Learning Policies for Contextual Submodular Prediction CoRR Stéphane Ross, Jiaji Zhou, Yisong Yue, Debadeepta Dey, J. Andrew Bagnell
2013	—	`conf`	Learning Policies for Contextual Submodular Prediction. ICML (3) Stéphane Ross, Jiaji Zhou, Yisong Yue, Debadeepta Dey, Drew Bagnell
2013	A*	`conf`	Learning monocular reactive UAV control in cluttered natural environments. ICRA Stéphane Ross, Narek Melik-Barkhudarov, Kumar Shaurya Shankar, Andreas Wendel, Debadeepta Dey, J. Andrew Bagnell, Martial Hebert
2012	A	`conf`	Classification of plant structures from uncalibrated image sequences. WACV Debadeepta Dey, Lily B. Mummert, Rahul Sukthankar
2012	—	`conf`	Contextual Sequence Prediction with Application to Control Library Optimization. Robotics: Science and Systems Debadeepta Dey, Tian Yu Liu, Martial Hebert, J. Andrew Bagnell
2012	A*	`conf`	Efficient Optimization of Control Libraries. AAAI Debadeepta Dey, Tian Yu Liu, Boris Sofman, James Andrew Bagnell
2012	J	`jnl`	Learning Monocular Reactive UAV Control in Cluttered Natural Environments CoRR Stéphane Ross, Narek Melik-Barkhudarov, Kumar Shaurya Shankar, Andreas Wendel, Debadeepta Dey, J. Andrew Bagnell, Martial Hebert
2012	J	`jnl`	Predicting Contextual Sequences via Submodular Function Maximization CoRR Debadeepta Dey, Tian Yu Liu, Martial Hebert, J. Andrew Bagnell
2011	J	`jnl`	A cascaded method to detect aircraft in video imagery. Int. J. Robotics Res. Debadeepta Dey, Christopher Geyer, Sanjiv Singh, Matthew Digioia
2009	—	`conf`	Passive, Long-Range Detection of Aircraft: Towards a Field Deployable Sense and Avoid System. FSR Debadeepta Dey, Christopher Geyer, Sanjiv Singh, Matthew Digioia