Nhan H. Pham

Artificial Intelligence · 2019

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 — 15 citations into it
• Computational Mechanics — 12 citations into it
• Optimization & Training — 12 citations into it
• Statistics and Probability — 5 citations into it

Whom Nhan H. Pham trusts overall

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

1. Zeyuan Allen-Zhu
2. Chih-Jen Lin
3. Tong Zhang
4. Sashank J. Reddi
5. Rie Johnson
6. Lin Xiao
7. Saeed Ghadimi
8. Aaron Defazio
9. Yurii E. Nesterov
10. Lam M. Nguyen

Papers from Nhan H. Pham's perspective

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

Their papers

• Hybrid Stochastic Gradient Descent Algorithms for Stochastic Nonconvex Optimization (2019) — 60 citations