Taewook Nam

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 22 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 38 citations into it
• Reinforcement Learning — 29 citations into it
• Computer Vision and Pattern Recognition — 12 citations into it

Whom Taewook Nam trusts overall

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

1. Sergey Levine
2. Diederik P. Kingma
3. Chelsea Finn
4. Pieter Abbeel
5. Aviral Kumar
6. Geoffrey E. Hinton
7. Richard S. Sutton
8. John Schulman
9. Yoshua Bengio
10. Jimmy Ba

Papers from Taewook Nam's perspective

Ordered by how strongly the researchers Taewook Nam 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. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
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

• Skill-based Meta-Reinforcement Learning (2022) — 57 citations