Joo-Haeng Lee

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 12 citations into it
• Computer Vision and Pattern Recognition — 12 citations into it
• Natural Language Processing — 6 citations into it

Whom Joo-Haeng Lee trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Kyunghyun Cho
4. Dzmitry Bahdanau
5. Diederik P. Kingma
6. David McNeill
7. Michael Kipp
8. Alex Krizhevsky
9. David E. Rumelhart
10. Ilya Sutskever

Papers from Joo-Haeng Lee's perspective

Ordered by how strongly the researchers Joo-Haeng Lee trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Speech gesture generation from the trimodal context of text, audio, and speaker identity (2020) — 384 citations