Dey, Debadeepta

22 publications

AutoML 2025 Syftr: Pareto-Optimal Generative AI Alexander Conway, Debadeepta Dey, Stefan Hackmann, Matthew Hausknecht, Michael Douglas Schmidt, Mark Lewis Steadman, Nick Volynets

ICLR 2023 What Makes Convolutional Models Great on Long Sequence Modeling? Yuhong Li, Tianle Cai, Yi Zhang, Deming Chen, Debadeepta Dey

NeurIPS 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 Awadallah, Jianfeng Gao

NeurIPS 2022 LiteTransformerSearch: Training-Free Neural Architecture Search for Efficient Language Models Mojan Javaheripi, Gustavo de Rosa, Subhabrata Mukherjee, Shital Shah, Tomasz Religa, Caio Cesar Teodoro Mendes, Sebastien Bubeck, Farinaz Koushanfar, Debadeepta Dey

ICML 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

ICMLW 2021 Ranking Architectures by Feature Extraction Capabilities Debadeepta Dey, Shital Shah, Sebastien Bubeck

JAIR 2020 Blind Spot Detection for Safe Sim-to-Real Transfer Ramya Ramakrishnan, Ece Kamar, Debadeepta Dey, Eric Horvitz, Julie Shah

AAAI 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

CoRL 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 Lawrance

CVPRW 2020 Quality and Relevance Metrics for Selection of Multimodal Pretraining Data Roshan Rao, Sudha Rao, Elnaz Nouri, Debadeepta Dey, Asli Celikyilmaz, Bill Dolan

NeurIPS 2019 Efficient Forward Architecture Search Hanzhang Hu, John Langford, Rich Caruana, Saurajit Mukherjee, Eric J Horvitz, Debadeepta Dey

AAAI 2019 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

ECCV 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

IJCAI 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

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

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

ICCV 2017 Submodular Trajectory Optimization for Aerial 3D Scanning Mike Roberts, Debadeepta Dey, Anh Truong, Sudipta Sinha, Shital Shah, Ashish Kapoor, Pat Hanrahan, Neel Joshi

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

ICML 2013 Learning Policies for Contextual Submodular Prediction Stephane Ross, Jiaji Zhou, Yisong Yue, Debadeepta Dey, Drew Bagnell

WACV 2012 Classification of Plant Structures from Uncalibrated Image Sequences Debadeepta Dey, Lily B. Mummert, Rahul Sukthankar

AAAI 2012 Efficient Optimization of Control Libraries Debadeepta Dey, Tian Yu Liu, Boris Sofman, James Andrew Bagnell