Ninh D. Pham

Artificial Intelligence · 2013

A researcher in the Science corpus: 1 paper; trusts 70 researchers and is trusted by 63 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it; #4,249 of 35,345 by trust here, #15,004 by citations
• Computer Vision and Pattern Recognition — 8 citations into it; #3,646 of 21,575 by trust here, #10,154 by citations
• Statistical Learning Theory — 8 citations into it; #226 of 1,038 by trust here, #508 by citations
• Optimization & Training — 5 citations into it

Whom Ninh D. Pham trusts overall

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

1. Chih-Jen Lin
2. Christopher K. I. Williams
3. Alex Smola
4. Yann LeCun
5. Andrea Vedaldi
6. Subhransu Maji
7. Ali Rahimi
8. Bernhard Schölkopf
9. Andrew Zisserman
10. Shai Fine

Who trusts Ninh D. Pham overall

1. Tsung-Yu Lin
2. Haim Avron
3. Vivek Sharma
4. Shu Kong
5. Hossein Rahmani
6. Per-Gunnar Martinsson
7. Ali Diba
8. Aruni RoyChowdhury
9. Dmitry Storcheus
10. Jeffrey Pennington

Papers from Ninh D. Pham's perspective

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

Their papers

• Fast and scalable polynomial kernels via explicit feature maps (2013) — 367 citations