Debadeepta Dey
Debadeepta Dey
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Debadeepta Dey
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What Makes Convolutional Models Great on Long Sequence Modeling?
AutoDistil: Few-shot Task-agnostic Neural Architecture Search for Distilling Large Language Models
LiteTransformerSearch: Training-free Neural Architecture Search for Efficient Language Models
FEAR: Ranking Architectures by their Feature Extraction Capabilities
A Recipe for Creating Multimodal Aligned Datasets for Sequential Tasks
Blind Spot Detection for Safe Sim-to-Real Transfer
Metareasoning in Modular Software Systems: On-the-Fly Configuration using Reinforcement Learning with Rich Contextual Representations
Efficient forward architecture search
Anytime neural networks via joint optimization of auxiliary losses
Overcoming blind spots in the real world: Leveraging complementary abilities for joint execution
Reparameterized Variational Divergence Minimization for Stable Imitation
Vision-based Navigation with Language-based Assistance via Imitation Learning with Indirect Intervention
Airsim-w: A simulation environment for wildlife conservation with uavs
Data-driven planning via imitation learning
Discovering blind spots in reinforcement learning
Learn-to-score: Efficient 3d scene exploration by predicting view utility
Near Real-Time Detection of Poachers from Drones in AirSim.
Adaptive information gathering via imitation learning
Airsim: High-fidelity visual and physical simulation for autonomous vehicles
Flight dynamics-based recovery of a UAV trajectory using ground cameras
Learning to gather information via imitation
No-regret replanning under uncertainty
Safety-aware algorithms for adversarial contextual bandit
Submodular trajectory optimization for aerial 3d scanning
Vision and learning for deliberative monocular cluttered flight
Predicting Sets and Lists: Theory and Practice
Predicting multiple structured visual interpretations
Knapsack constrained contextual submodular list prediction with application to multi-document summarization
Learning monocular reactive uav control in cluttered natural environments
Classification of plant structures from uncalibrated image sequences
Contextual Sequence Prediction with Application to Control Library Optimization
A cascaded method to detect aircraft in video imagery
Efficient Optimization of Control Libraries
Passive, long-range detection of aircraft: towards a field deployable sense and avoid system
Prototype sense-and-avoid system for UAVs
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