Debadeepta Dey
Artificial Intelligence · 2012–2018
A researcher in the Science corpus: 6 papers; trusts 130 researchers and is trusted by 27 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 80 citations into it; #26,763 of 35,345 by trust here, #23,077 by citations
- Computer Vision and Pattern Recognition — 70 citations into it; #10,292 of 21,575 by trust here, #6,737 by citations
- Reinforcement Learning — 44 citations into it; #1,801 of 2,242 by trust here, #1,822 by citations
- Natural Language Processing — 20 citations into it; #4,401 of 5,688 by trust here, #4,601 by citations
- Model Architectures — 17 citations into it
- Control and Systems Engineering — 14 citations into it; #3,383 of 8,257 by trust here, #1,038 by citations
- Management Science and Operations Research — 13 citations into it; #5,113 of 11,946 by trust here, #1,654 by citations
- Optimization & Training — 13 citations into it
Whom Debadeepta Dey trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Christopher K. I. Williams
- Diederik P. Kingma
- Kaiming He
- Geoffrey E. Hinton
- Yoshua Bengio
- Alex Krizhevsky
- Stéphane Ross
- Yann LeCun
- Ilya Sutskever
- Matthew J. Streeter
Who trusts Debadeepta Dey overall
- Abner Guzmán-Rivera
- Sergey I. Nikolenko
- Khanh Nguyen
- Valts Blukis
- Yen-Cheng Liu
- Jesse Thomason
- Anca Dragan
- Longlong Jing
- Jiarong Lin
- Dhruv Batra
Papers from Debadeepta Dey's perspective
Ordered by how strongly the researchers Debadeepta Dey trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Learning monocular reactive UAV control in cluttered natural environments (2012) — 452 citations
- Vision-Based Navigation With Language-Based Assistance via Imitation Learning With Indirect Intervention (2018) — 159 citations
- Contextual Sequence Prediction with Application to Control Library Optimization (2012) — 45 citations
- Adaptive Information Gathering via Imitation Learning (2017) — 24 citations
- AirSim: High-Fidelity Visual and Physical Simulation for Autonomous Vehicles (2017) — 2,474 citations
- Macro Neural Architecture Search Revisited (2018)