Debadeepta Dey

According to our database1, Debadeepta Dey authored at least 51 papers between 2009 and 2023.

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Bibliography

2023
Neural Architecture Search: Insights from 1000 Papers.
CoRR, 2023

Small Character Models Match Large Word Models for Autocomplete Under Memory Constraints.
Proceedings of The Fourth Workshop on Simple and Efficient Natural Language Processing, 2023

What Makes Convolutional Models Great on Long Sequence Modeling?
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Spoken language interaction with robots: Recommendations for future research.
Comput. Speech Lang., 2022

One Network Doesn't Rule Them All: Moving Beyond Handcrafted Architectures in Self-Supervised Learning.
CoRR, 2022

LiteTransformerSearch: Training-free On-device Search for Efficient Autoregressive Language Models.
CoRR, 2022

AutoDistil: Few-shot Task-agnostic Neural Architecture Search for Distilling Large Language Models.
CoRR, 2022

Few-shot Task-agnostic Neural Architecture Search for Distilling Large Language Models.
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.
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.
CoRR, 2021

Boosting the Throughput and Accelerator Utilization of Specialized CNN Inference Beyond Increasing Batch Size.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
Blind Spot Detection for Safe Sim-to-Real Transfer.
J. Artif. Intell. Res., 2020

Reparameterized Variational Divergence Minimization for Stable Imitation.
CoRR, 2020

Quality and Relevance Metrics for Selection of Multimodal Pretraining Data.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

MultiPoint: Cross-spectral registration of thermal and optical aerial imagery.
Proceedings of the 4th Conference on Robot Learning, 2020

A Recipe for Creating Multimodal Aligned Datasets for Sequential Tasks.
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.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Efficient Forward Architecture Search.
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.
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.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Learning Anytime Predictions in Neural Networks via Adaptive Loss Balancing.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Data-driven planning via imitation learning.
Int. J. Robotics Res., 2018

Near Real-Time Detection of Poachers from Drones in AirSim.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Learn-to-Score: Efficient 3D Scene Exploration by Predicting View Utility.
Proceedings of the Computer Vision - ECCV 2018, 2018

AirSim-W: A Simulation Environment for Wildlife Conservation with UAVs.
Proceedings of the 1st ACM SIGCAS Conference on Computing and Sustainable Societies, 2018

Discovering Blind Spots in Reinforcement Learning.
Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

2017
Log-DenseNet: How to Sparsify a DenseNet.
CoRR, 2017

Anytime Neural Networks via Joint Optimization of Auxiliary Losses.
CoRR, 2017

Adaptive Information Gathering via Imitation Learning.
Proceedings of the Robotics: Science and Systems XIII, 2017

No-regret replanning under uncertainty.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Learning to gather information via imitation.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Safety-Aware Algorithms for Adversarial Contextual Bandit.
Proceedings of the 34th International Conference on Machine Learning, 2017

Submodular Trajectory Optimization for Aerial 3D Scanning.
Proceedings of the IEEE International Conference on Computer Vision, 2017

AirSim: High-Fidelity Visual and Physical Simulation for Autonomous Vehicles.
Proceedings of the Field and Service Robotics, 2017

Flight Dynamics-Based Recovery of a UAV Trajectory Using Ground Cameras.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Risk-Aware Algorithms for Adversarial Contextual Bandits.
CoRR, 2016

Probabilistic Safety Programs.
CoRR, 2016

Robust Monocular Flight in Cluttered Outdoor Environments.
CoRR, 2016

2015
Predicting Sets and Lists: Theory and Practice.
PhD thesis, 2015

Predicting Multiple Structured Visual Interpretations.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Vision and Learning for Deliberative Monocular Cluttered Flight.
Proceedings of the Field and Service Robotics, 2015

2014
Gauss meets Canadian traveler: shortest-path problems with correlated natural dynamics.
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.
CoRR, 2013

Learning monocular reactive UAV control in cluttered natural environments.
Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

Learning Policies for Contextual Submodular Prediction.
Proceedings of the 30th International Conference on Machine Learning, 2013

2012
Predicting Contextual Sequences via Submodular Function Maximization
CoRR, 2012

Classification of plant structures from uncalibrated image sequences.
Proceedings of the IEEE Workshop on Applications of Computer Vision, 2012

Contextual Sequence Prediction with Application to Control Library Optimization.
Proceedings of the Robotics: Science and Systems VIII, 2012

Efficient Optimization of Control Libraries.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011
A cascaded method to detect aircraft in video imagery.
Int. J. Robotics Res., 2011

2009
Passive, Long-Range Detection of Aircraft: Towards a Field Deployable Sense and Avoid System.
Proceedings of the Field and Service Robotics, Results of the 7th International Conference, 2009


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