Tu-Hoa Pham

Reinforcement Learning · 2018

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

• Reinforcement Learning — 20 citations into it
• Artificial Intelligence — 19 citations into it

Whom Tu-Hoa Pham trusts overall

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

1. John Schulman
2. Diederik P. Kingma
3. Pieter Abbeel
4. Geoffrey E. Hinton
5. Sergey Levine
6. Jimmy Ba
7. Yan Duan
8. Yoshua Bengio
9. Alex Krizhevsky
10. Richard S. Sutton

Who trusts Tu-Hoa Pham overall

1. Scott Fujimoto
2. David Meger

Papers from Tu-Hoa Pham's perspective

Ordered by how strongly the researchers Tu-Hoa Pham 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. GENERATIVE ADVERSARIAL NETS
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Constrained Exploration and Recovery from Experience Shaping (2018) — 3 citations