Debadeepta Dey
22 papers · 2012–2025 · 12 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (12) π Interdisciplinary Bridge π£ Hot Topic Early Bird π§ Keyword Pioneer π Academic Marathon (13)
πΊοΈ
Taxonomy Completionist
(55)
π£
Hot Topic Early Bird
π
Interdisciplinary Bridge
π§¬
Topic Evolution
π
Grand Slam
ποΈ
Keyword Collector
(112)
π
Conference Pioneer
π
Trend Setter
π
Century Club
(22)
π₯
Unstoppable
(7)
β
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
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