Junhaeng Lee
Electrical and Electronic Engineering · 2016
A researcher in the Science corpus: 1 paper; trusts 20 researchers and is trusted by 22 researchers here, as inferred from the citation graph.
Subfields
- Electrical and Electronic Engineering — 14 citations into it; #1,751 of 16,539 by trust here, #7,308 by citations
- Cognitive Neuroscience — 11 citations into it; #1,713 of 10,852 by trust here, #4,352 by citations
- Artificial Intelligence — 8 citations into it
- Optimization & Training — 6 citations into it
Whom Junhaeng Lee trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Yann LeCun
- Diederik P. Kingma
- Geoffrey E. Hinton
- Kaiming He
- Peter U. Diehl
- David E. Rumelhart
- Alex Krizhevsky
- Xavier Glorot
- Wulfram Gerstner
Who trusts Junhaeng Lee overall
- Wei Fang
- Michael Pfeiffer
- Friedemann Zenke
- Yujie Wu
- Sumit Bam Shrestha
- Daniel Gehrig
- Bing Han
- Amos Sironi
- Shi-Wee Deng
- Kashu Yamazaki
Papers from Junhaeng Lee's perspective
Ordered by how strongly the researchers Junhaeng Lee 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
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Training Deep Spiking Neural Networks Using Backpropagation (2016) — 1,062 citations