Dongho Kim

Artificial Intelligence · with Bou-Ammar · 2018

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 14 citations into it
• Reinforcement Learning — 10 citations into it

Whom Dongho Kim trusts overall

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

1. Alexander Olshevsky
2. Haitham Bou-Ammar
3. Abhishek Kumar
4. Ermin Wei
5. John Schulman
6. Matthew D. Hoffman
7. Asuman E. Ozdaglar
8. David M. Blei
9. Matthew E. Taylor
10. Sergey Levine

Papers from Dongho Kim's perspective

Ordered by how strongly the researchers Dongho Kim 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. Long Short-Term Memory
6. Learning Multiple Layers of Features from Tiny Images
7. Trust Region Policy Optimization (International Conference on Machine Learning)
8. ImageNet: A large-scale hierarchical image database
9. Attention is All you Need (Neural Information Processing Systems)
10. GENERATIVE ADVERSARIAL NETS

Their papers

• Distributed Multitask Reinforcement Learning with Quadratic Convergence (2018) — 9 citations