Soochan Lee

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 66 researchers and is trusted by 18 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 29 citations into it
• Computer Vision and Pattern Recognition — 21 citations into it
• Representation & Self-Supervised Learning — 15 citations into it
• Meta & Continual Learning — 11 citations into it; #305 of 1,041 by trust here, #333 by citations
• Reinforcement Learning — 6 citations into it
• Probabilistic & Bayesian Methods — 5 citations into it; #649 of 1,525 by trust here, #477 by citations

Whom Soochan Lee trusts overall

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

1. Rahaf Aljundi
2. Alex Krizhevsky
3. Radford M. Neal
4. Michael I. Jordan
5. Geoffrey E. Hinton
6. Kaiming He
7. Marc'Aurelio Ranzato
8. Yoshua Bengio
9. Arslan Chaudhry
10. Yann LeCun

Who trusts Soochan Lee overall

1. Fei Ye
2. Zheda Mai
3. Adrian G. Bors
4. James Smith
5. Jorge Armando Mendez Mendez
6. Matthias De Lange
7. K. J. Joseph
8. Binh Tang
9. Nikhil Mehta
10. Chris Dongjoo Kim

Papers from Soochan Lee's perspective

Ordered by how strongly the researchers Soochan 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning (2020) — 242 citations