← Authors

Debadeepta Dey

22 papers · 2012–2025 · 12 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (13) 🐝 Cross-Pollinator (10) 🌈 Renaissance Researcher (10) 🌍 Conference Polyglot (12) 🧭 Keyword Pioneer πŸ—ΊοΈ Taxonomy Completionist (55) 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧬 Topic Evolution πŸ† Grand Slam πŸ—ƒοΈ Keyword Collector (112) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter πŸ’Ž Century Club (22) πŸ”₯ Unstoppable (7) ❓ The Questioner

Conferences

AAAI (3) ICML (3) NIPS (3) ACL (2) CVPR (2) ICCV (2) RSS (2) AUTOML (1) CORL (1) ECCV (1) ICLR (1) IJCAI (1)

Top co-authors

Ashish Kapoor (5) Shital Shah (4) Martial Hebert (3) J. Andrew Bagnell (3) Subhabrata Mukherjee (3) Besmira Nushi (2) Chris Brockett (2) Gustavo de Rosa (2) Sudipta N. Sinha (2) Hanzhang Hu (2)

Keywords

imitation learning (3) trajectory prediction (3) neural architecture search (3) submodular optimization (2) multimodal learning (2) image classification (1) representation learning (1) unsupervised learning (1) network architecture (1) deep reinforcement learning (1) vision-language navigation (1) transfer learning (1) domain adaptation (1) structured prediction (1) sequential decision making (1) semantic segmentation (1) object detection (1) knowledge distillation (1) document summarization (1) feature selection (1)

Papers

syftr: Pareto-Optimal Generative AI AUTOML 2025
Small Character Models Match Large Word Models for Autocomplete Under Memory Constraints ACL 2023
What Makes Convolutional Models Great on Long Sequence Modeling? ICLR 2023
Few-shot Task-agnostic Neural Architecture Search for Distilling Large Language Models NIPS 2022
LiteTransformerSearch: Training-free Neural Architecture Search for Efficient Language Models NIPS 2022
Boosting the Throughput and Accelerator Utilization of Specialized CNN Inference Beyond Increasing Batch Size ICML 2021
A Recipe for Creating Multimodal Aligned Datasets for Sequential Tasks ACL 2020
MultiPoint: Cross-spectral registration of thermal and optical aerial imagery CORL 2020
Metareasoning in Modular Software Systems: On-the-Fly Configuration Using Reinforcement Learning with Rich Contextual Representations AAAI 2020
Efficient Forward Architecture Search NIPS 2019
Learning Anytime Predictions in Neural Networks via Adaptive Loss Balancing AAAI 2019
Overcoming Blind Spots in the Real World: Leveraging Complementary Abilities for Joint Execution AAAI 2019
Vision-Based Navigation With Language-Based Assistance via Imitation Learning With Indirect Intervention CVPR 2019
Learn-to-Score: Efficient 3D Scene Exploration by Predicting View Utility ECCV 2018
Near Real-Time Detection of Poachers from Drones in AirSim IJCAI 2018
Safety-Aware Algorithms for Adversarial Contextual Bandit ICML 2017
Flight Dynamics-Based Recovery of a UAV Trajectory Using Ground Cameras CVPR 2017
Adaptive Information Gathering via Imitation Learning RSS 2017
Submodular Trajectory Optimization for Aerial 3D Scanning ICCV 2017
Predicting Multiple Structured Visual Interpretations ICCV 2015
Learning Policies for Contextual Submodular Prediction ICML 2013
Contextual Sequence Prediction with Application to Control Library Optimization RSS 2012