Jinkyu Lee
Artificial Intelligence · with Tashev · 2015
A researcher in the Science corpus: 1 paper; trusts 22 researchers and is trusted by 11 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 7 citations into it; #14,038 of 35,345 by trust here, #23,077 by citations
- Experimental and Cognitive Psychology — 5 citations into it; #2,773 of 9,731 by trust here, #5,729 by citations
- Signal Processing — 5 citations into it; #2,816 of 7,572 by trust here, #4,373 by citations
Whom Jinkyu Lee trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Paul J. Werbos
- Lawrence R. Rabiner
- Yoshua Bengio
- Sepp Hochreiter
- Alex Graves
- J. Urgen Schmidhuber
- George E. Dahl
- Dong Yu
- Geoffrey E. Hinton
- Yelin Kim
Who trusts Jinkyu Lee overall
- Wootaek Lim
- Seyedmahdad Mirsamadi
- S. Abdullah
- Amir Zadeh
- Taiba Maijd Wani
- Yan Wang
- Emad Barsoum
- Dae-young Jang
- Siddeeq Yousif Ameen
- Minghai Chen
Papers from Jinkyu Lee's perspective
Ordered by how strongly the researchers Jinkyu Lee trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)