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Debadeepta Dey
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2020 – today
- 2023
- [c33]Yuhong Li, Tianle Cai, Yi Zhang, Deming Chen, Debadeepta Dey:
What Makes Convolutional Models Great on Long Sequence Modeling? ICLR 2023 - [c32]Ganesh Jawahar, Subhabrata Mukherjee, Debadeepta Dey, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan, Caio C. T. Mendes, Gustavo Henrique de Rosa, Shital Shah:
Small Character Models Match Large Word Models for Autocomplete Under Memory Constraints. SustaiNLP 2023: 274-289 - [i31]Colin White, Mahmoud Safari, Rhea Sukthanker, Binxin Ru, Thomas Elsken, Arber Zela, Debadeepta Dey, Frank Hutter:
Neural Architecture Search: Insights from 1000 Papers. CoRR abs/2301.08727 (2023) - 2022
- [j4]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
Spoken language interaction with robots: Recommendations for future research. Comput. Speech Lang. 71: 101255 (2022) - [c31]Mojan Javaheripi, Gustavo de Rosa, Subhabrata Mukherjee, Shital Shah, Tomasz Religa, Caio César Teodoro Mendes, Sébastien Bubeck, Farinaz Koushanfar, Debadeepta Dey:
LiteTransformerSearch: Training-free Neural Architecture Search for Efficient Language Models. NeurIPS 2022 - [c30]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 - [i30]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 abs/2201.12507 (2022) - [i29]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 abs/2203.02094 (2022) - [i28]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 abs/2203.08130 (2022) - [i27]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 abs/2210.03251 (2022) - [i26]Yuhong Li, Tianle Cai, Yi Zhang, Deming Chen, Debadeepta Dey:
What Makes Convolutional Models Great on Long Sequence Modeling? CoRR abs/2210.09298 (2022) - 2021
- [c29]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: 5731-5741 - [i25]Debadeepta Dey, Shital Shah, Sébastien Bubeck:
FEAR: A Simple Lightweight Method to Rank Architectures. CoRR abs/2106.04010 (2021) - 2020
- [j3]Ramya Ramakrishnan, Ece Kamar, Debadeepta Dey, Eric Horvitz, Julie Shah:
Blind Spot Detection for Safe Sim-to-Real Transfer. J. Artif. Intell. Res. 67: 191-234 (2020) - [c28]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: 5207-5215 - [c27]Angela S. Lin, Sudha Rao, Asli Celikyilmaz, Elnaz Nouri, Chris Brockett
A Recipe for Creating Multimodal Aligned Datasets for Sequential Tasks. ACL 2020: 4871-4884 - [c26]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: 1746-1760 - [c25]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: 4109-4116 - [i24]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 abs/2005.09606 (2020) - [i23]Dilip Arumugam, Debadeepta Dey, Alekh Agarwal, Asli Celikyilmaz, Elnaz Nouri, Bill Dolan:
Reparameterized Variational Divergence Minimization for Stable Imitation. CoRR abs/2006.10810 (2020)
2010 – 2019
- 2019
- [c24]Hanzhang Hu, Debadeepta Dey, Martial Hebert, J. Andrew Bagnell:
Learning Anytime Predictions in Neural Networks via Adaptive Loss Balancing. AAAI 2019: 3812-3821 - [c23]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: 6137-6145 - [c22]Khanh Nguyen, Debadeepta Dey, Chris Brockett
Vision-Based Navigation With Language-Based Assistance via Imitation Learning With Indirect Intervention. CVPR 2019: 12527-12537 - [c21]Hanzhang Hu, John Langford, Rich Caruana, Saurajit Mukherjee, Eric Horvitz, Debadeepta Dey:
Efficient Forward Architecture Search. NeurIPS 2019: 10122-10131 - [i22]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 abs/1905.05179 (2019) - [i21]Hanzhang Hu, John Langford, Rich Caruana, Saurajit Mukherjee, Eric Horvitz, Debadeepta Dey:
Efficient Forward Architecture Search. CoRR abs/1905.13360 (2019) - 2018
- [j2]Sanjiban Choudhury, Mohak Bhardwaj, Sankalp Arora, Ashish Kapoor, Gireeja Ranade, Sebastian A. Scherer
Data-driven planning via imitation learning. Int. J. Robotics Res. 37(13-14) (2018) - [c20]Ramya Ramakrishnan, Ece Kamar, Debadeepta Dey, Julie A. Shah, Eric Horvitz:
Discovering Blind Spots in Reinforcement Learning. AAMAS 2018: 1017-1025 - [c19]Elizabeth Bondi, Debadeepta Dey, Ashish Kapoor, Jim Piavis, Shital Shah, Fei Fang
AirSim-W: A Simulation Environment for Wildlife Conservation with UAVs. COMPASS 2018: 40:1-40:12 - [c18]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: 455-472 - [c17]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: 5814-5816 - [i20]Ramya Ramakrishnan, Ece Kamar, Debadeepta Dey, Julie A. Shah, Eric Horvitz:
Discovering Blind Spots in Reinforcement Learning. CoRR abs/1805.08966 (2018) - [i19]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 abs/1806.10354 (2018) - [i18]Khanh Nguyen, Debadeepta Dey, Chris Brockett, Bill Dolan:
Vision-based Navigation with Language-based Assistance via Imitation Learning with Indirect Intervention. CoRR abs/1812.04155 (2018) - 2017
- [c16]Artem Rozantsev, Sudipta N. Sinha, Debadeepta Dey, Pascal Fua:
Flight Dynamics-Based Recovery of a UAV Trajectory Using Ground Cameras. CVPR 2017: 2482-2491 - [c15]Shital Shah, Debadeepta Dey, Chris Lovett, Ashish Kapoor:
AirSim: High-Fidelity Visual and Physical Simulation for Autonomous Vehicles. FSR 2017: 621-635 - [c14]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: 5334-5343 - [c13]Wen Sun, Debadeepta Dey, Ashish Kapoor:
Safety-Aware Algorithms for Adversarial Contextual Bandit. ICML 2017: 3280-3288 - [c12]Sanjiban Choudhury, Ashish Kapoor, Gireeja Ranade, Debadeepta Dey:
Learning to gather information via imitation. ICRA 2017: 908-915 - [c11]Wen Sun, Niteesh Sood, Debadeepta Dey, Gireeja Ranade, Siddharth Prakash, Ashish Kapoor:
No-regret replanning under uncertainty. ICRA 2017: 6420-6427 - [c10]Sanjiban Choudhury, Ashish Kapoor, Gireeja Ranade, Sebastian A. Scherer
Adaptive Information Gathering via Imitation Learning. Robotics: Science and Systems 2017 - [i17]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 abs/1705.00703 (2017) - [i16]Shital Shah, Debadeepta Dey, Chris Lovett, Ashish Kapoor:
AirSim: High-Fidelity Visual and Physical Simulation for Autonomous Vehicles. CoRR abs/1705.05065 (2017) - [i15]Sanjiban Choudhury, Ashish Kapoor, Gireeja Ranade, Sebastian A. Scherer, Debadeepta Dey:
Adaptive Information Gathering via Imitation Learning. CoRR abs/1705.07834 (2017) - [i14]Hanzhang Hu, Debadeepta Dey, J. Andrew Bagnell, Martial Hebert:
Anytime Neural Networks via Joint Optimization of Auxiliary Losses. CoRR abs/1708.06832 (2017) - [i13]Hanzhang Hu, Debadeepta Dey, Allison Del Giorno, Martial Hebert, J. Andrew Bagnell:
Log-DenseNet: How to Sparsify a DenseNet. CoRR abs/1711.00002 (2017) - [i12]Sanjiban Choudhury, Mohak Bhardwaj, Sankalp Arora, Ashish Kapoor, Gireeja Ranade, Sebastian A. Scherer, Debadeepta Dey:
Data-driven Planning via Imitation Learning. CoRR abs/1711.06391 (2017) - 2016
- [i11]Shreyansh Daftry, Sam Zeng, Arbaaz Khan, Debadeepta Dey, Narek Melik-Barkhudarov, J. Andrew Bagnell, Martial Hebert:
Robust Monocular Flight in Cluttered Outdoor Environments. CoRR abs/1604.04779 (2016) - [i10]Wen Sun, Niteesh Sood, Debadeepta Dey, Gireeja Ranade, Siddharth Prakash, Ashish Kapoor:
No-Regret Replanning under Uncertainty. CoRR abs/1609.05162 (2016) - [i9]Wen Sun, Debadeepta Dey, Ashish Kapoor:
Risk-Aware Algorithms for Adversarial Contextual Bandits. CoRR abs/1610.05129 (2016) - [i8]Ashish Kapoor, Debadeepta Dey, Shital Shah:
Probabilistic Safety Programs. CoRR abs/1610.05376 (2016) - [i7]Sanjiban Choudhury, Ashish Kapoor, Gireeja Ranade, Debadeepta Dey:
Learning to Gather Information via Imitation. CoRR abs/1611.04180 (2016) - [i6]Artem Rozantsev, Sudipta N. Sinha, Debadeepta Dey, Pascal Fua:
Flight Dynamics-based Recovery of a UAV Trajectory using Ground Cameras. CoRR abs/1612.00192 (2016) - 2015
- [b1]Debadeepta Dey:
Predicting Sets and Lists: Theory and Practice. Carnegie Mellon University, USA, 2015 - [c9]Debadeepta Dey, Kumar Shaurya Shankar
Vision and Learning for Deliberative Monocular Cluttered Flight. FSR 2015: 391-409 - [c8]Debadeepta Dey, Varun Ramakrishna, Martial Hebert, J. Andrew Bagnell:
Predicting Multiple Structured Visual Interpretations. ICCV 2015: 2947-2955 - 2014
- [c7]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: 1101-1108 - [i5]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 abs/1411.6326 (2014) - 2013
- [c6]Stéphane Ross, Jiaji Zhou, Yisong Yue, Debadeepta Dey, Drew Bagnell:
Learning Policies for Contextual Submodular Prediction. ICML (3) 2013: 1364-1372 - [c5]Stéphane Ross, Narek Melik-Barkhudarov, Kumar Shaurya Shankar
Learning monocular reactive UAV control in cluttered natural environments. ICRA 2013: 1765-1772 - [i4]Stéphane Ross, Jiaji Zhou, Yisong Yue, Debadeepta Dey, J. Andrew Bagnell:
Learning Policies for Contextual Submodular Prediction. CoRR abs/1305.2532 (2013) - [i3]Jiaji Zhou, Stéphane Ross, Yisong Yue, Debadeepta Dey, J. Andrew Bagnell:
Knapsack Constrained Contextual Submodular List Prediction with Application to Multi-document Summarization. CoRR abs/1308.3541 (2013) - 2012
- [c4]Debadeepta Dey, Tian Yu Liu, Boris Sofman, James Andrew Bagnell:
Efficient Optimization of Control Libraries. AAAI 2012: 1983-1989 - [c3]Debadeepta Dey, Tian Yu Liu, Martial Hebert, J. Andrew Bagnell:
Contextual Sequence Prediction with Application to Control Library Optimization. Robotics: Science and Systems 2012 - [c2]Debadeepta Dey, Lily B. Mummert, Rahul Sukthankar:
Classification of plant structures from uncalibrated image sequences. WACV 2012: 329-336 - [i2]Debadeepta Dey, Tian Yu Liu, Martial Hebert, J. Andrew Bagnell:
Predicting Contextual Sequences via Submodular Function Maximization. CoRR abs/1202.2112 (2012) - [i1]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 abs/1211.1690 (2012) - 2011
- [j1]Debadeepta Dey, Christopher Geyer, Sanjiv Singh
A cascaded method to detect aircraft in video imagery. Int. J. Robotics Res. 30(12): 1527-1540 (2011)
2000 – 2009
- 2009
- [c1]Debadeepta Dey, Christopher Geyer, Sanjiv Singh, Matthew Digioia:
Passive, Long-Range Detection of Aircraft: Towards a Field Deployable Sense and Avoid System. FSR 2009: 113-123
Coauthor Index
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