Dong Bok Lee

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 35 citations into it; #23,855 of 35,345 by trust here, #20,377 by citations
• Computer Vision and Pattern Recognition — 14 citations into it
• Generative Models — 12 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Dong Bok Lee trusts overall

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

1. Geoffrey E. Hinton
2. Takeru Miyato
3. Diederik P. Kingma
4. Yoshua Bengio
5. Individualized Treat
6. Alex Krizhevsky
7. L. V. D. van der Maaten
8. Alex Graves
9. Yann LeCun
10. Kaiming He

Who trusts Dong Bok Lee overall

1. Rongjie Huang
2. Hyung-Seok Oh
3. Mohammed Salah Al-Radhi
4. Minki Kang
5. Zalán Borsos
6. P. Xu
7. Jinglin Liu
8. Yi Ren

Papers from Dong Bok Lee's perspective

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

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

Their papers

• Meta-StyleSpeech : Multi-Speaker Adaptive Text-to-Speech Generation (2021) — 227 citations