Passive, Long-Range Detection of Aircraft: Towards a Field Deployable Sense and Avoid System. - Debadeepta Dey; Christopher Geyer; Sanjiv Singh; Matthew Digioia (FSR, 2009)

A cascaded method to detect aircraft in video imagery. - Debadeepta Dey; Christopher Geyer; Sanjiv Singh; Matthew Digioia (Int. J. Robotics Res., 2011)

Efficient Optimization of Control Libraries. - Debadeepta Dey; Tian Yu Liu; Boris Sofman; James Andrew Bagnell (AAAI, 2012)

Contextual Sequence Prediction with Application to Control Library Optimization. - Debadeepta Dey; Tian Yu Liu; Martial Hebert; J. Andrew Bagnell (Robotics: Science and Systems, 2012)

Classification of plant structures from uncalibrated image sequences. - Debadeepta Dey; Lily B. Mummert; Rahul Sukthankar (WACV, 2012)

Predicting Contextual Sequences via Submodular Function Maximization - Debadeepta Dey; Tian Yu Liu; Martial Hebert; J. Andrew Bagnell (CoRR, 2012)

Learning Policies for Contextual Submodular Prediction. - Stéphane Ross; Jiaji Zhou; Yisong Yue; Debadeepta Dey; Drew Bagnell (ICML (3), 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 (ICRA, 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)

Gauss meets Canadian traveler: shortest-path problems with correlated natural dynamics. - Debadeepta Dey; Andrey Kolobov; Rich Caruana; Ece Kamar; Eric Horvitz; Ashish Kapoor (AAMAS, 2014)

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 (FSR, 2015)

Predicting Multiple Structured Visual Interpretations. - Debadeepta Dey; Varun Ramakrishna; Martial Hebert; J. Andrew Bagnell (ICCV, 2015)

Predicting Sets and Lists: Theory and Practice. - Debadeepta Dey (2015)

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)

Probabilistic Safety Programs. - Ashish Kapoor; Debadeepta Dey; Shital Shah (CoRR, 2016)

Risk-Aware Algorithms for Adversarial Contextual Bandits. - Wen Sun; Debadeepta Dey; Ashish Kapoor (CoRR, 2016)

Flight Dynamics-Based Recovery of a UAV Trajectory Using Ground Cameras. - Artem Rozantsev; Sudipta N. Sinha; Debadeepta Dey; Pascal Fua (CVPR, 2017)

AirSim: High-Fidelity Visual and Physical Simulation for Autonomous Vehicles. - Shital Shah; Debadeepta Dey; Chris Lovett; Ashish Kapoor (FSR, 2017)

Submodular Trajectory Optimization for Aerial 3D Scanning. - Mike Roberts 001; Shital Shah; Debadeepta Dey; Anh Truong; Sudipta N. Sinha; Ashish Kapoor; Pat Hanrahan; Neel Joshi (ICCV, 2017)

Safety-Aware Algorithms for Adversarial Contextual Bandit. - Wen Sun; Debadeepta Dey; Ashish Kapoor (ICML, 2017)

Learning to gather information via imitation. - Sanjiban Choudhury; Ashish Kapoor; Gireeja Ranade; Debadeepta Dey (ICRA, 2017)

No-regret replanning under uncertainty. - Wen Sun; Niteesh Sood; Debadeepta Dey; Gireeja Ranade; Siddharth Prakash; Ashish Kapoor (ICRA, 2017)

Adaptive Information Gathering via Imitation Learning. - Sanjiban Choudhury; Ashish Kapoor; Gireeja Ranade; Sebastian A. Scherer; Debadeepta Dey (Robotics: Science and Systems, 2017)

Anytime Neural Networks via Joint Optimization of Auxiliary Losses. - Hanzhang Hu; Debadeepta Dey; J. Andrew Bagnell; Martial Hebert (CoRR, 2017)

Log-DenseNet: How to Sparsify a DenseNet. - Hanzhang Hu; Debadeepta Dey; Allison Del Giorno; Martial Hebert; J. Andrew Bagnell (CoRR, 2017)

Discovering Blind Spots in Reinforcement Learning. - Ramya Ramakrishnan; Ece Kamar; Debadeepta Dey; Julie A. Shah; Eric Horvitz (AAMAS, 2018)

AirSim-W: A Simulation Environment for Wildlife Conservation with UAVs. - Elizabeth Bondi; Debadeepta Dey; Ashish Kapoor; Jim Piavis; Shital Shah; Fei Fang 001; Bistra Dilkina; Robert Hannaford; Arvind Iyer; Lucas Joppa; Milind Tambe (COMPASS, 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 (ECCV (15), 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 (IJCAI, 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)

Learning Anytime Predictions in Neural Networks via Adaptive Loss Balancing. - Hanzhang Hu; Debadeepta Dey; Martial Hebert; J. Andrew Bagnell (AAAI, 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 (AAAI, 2019)

Vision-Based Navigation With Language-Based Assistance via Imitation Learning With Indirect Intervention. - Khanh Nguyen; Debadeepta Dey; Chris Brockett; Bill Dolan (CVPR, 2019)

Efficient Forward Architecture Search. - Hanzhang Hu; John Langford 001; Rich Caruana; Saurajit Mukherjee; Eric Horvitz; Debadeepta Dey (NeurIPS, 2019)

Metareasoning in Modular Software Systems: On-the-Fly Configuration Using Reinforcement Learning with Rich Contextual Representations. - Aditya Modi 002; Debadeepta Dey; Alekh Agarwal; Adith Swaminathan; Besmira Nushi; Sean Andrist; Eric Horvitz (AAAI, 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 (ACL, 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 (CoRL, 2020)

Quality and Relevance Metrics for Selection of Multimodal Pretraining Data. - Roshan Rao; Sudha Rao; Elnaz Nouri; Debadeepta Dey; Asli Celikyilmaz; Bill Dolan (CVPR Workshops, 2020)

Reparameterized Variational Divergence Minimization for Stable Imitation. - Dilip Arumugam; Debadeepta Dey; Alekh Agarwal; Asli Celikyilmaz; Elnaz Nouri; Bill Dolan (CoRR, 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)

Boosting the Throughput and Accelerator Utilization of Specialized CNN Inference Beyond Increasing Batch Size. - Jack Kosaian; Amar Phanishayee; Matthai Philipose; Debadeepta Dey; Rashmi Vinayak (ICML, 2021)

FEAR: A Simple Lightweight Method to Rank Architectures. - Debadeepta Dey; Shital Shah; Sébastien Bubeck (CoRR, 2021)

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 (NeurIPS, 2022)

Few-shot Task-agnostic Neural Architecture Search for Distilling Large Language Models. - Dongkuan Xu; Subhabrata Mukherjee; Xiaodong Liu 003; Debadeepta Dey; Wenhui Wang 003; Xiang Zhang 001; Ahmed Hassan Awadallah; Jianfeng Gao 001 (NeurIPS, 2022)

AutoDistil: Few-shot Task-agnostic Neural Architecture Search for Distilling Large Language Models. - Dongkuan Xu; Subhabrata Mukherjee; Xiaodong Liu 003; Debadeepta Dey; Wenhui Wang 003; Xiang Zhang 001; Ahmed Hassan Awadallah; Jianfeng Gao 001 (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)

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)

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; et al. (Comput. Speech Lang., 2022)

What Makes Convolutional Models Great on Long Sequence Modeling? - Yuhong Li; Tianle Cai; Yi Zhang; Deming Chen; Debadeepta Dey (ICLR, 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 (SustaiNLP, 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)

syftr: Pareto-Optimal Generative AI. - Alexander Conway 002; Debadeepta Dey; Stefan Hackmann; Matthew Hausknecht; Michael Schmidt; Mark Steadman; Nick Volynets (CoRR, 2025)