Jialin Pan

Artificial Intelligence · 2010

A researcher in the Science corpus: 1 paper; trusts 125 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 68 citations into it
• Representation & Self-Supervised Learning — 37 citations into it
• Computer Vision and Pattern Recognition — 27 citations into it
• Natural Language Processing — 15 citations into it
• Information Systems — 13 citations into it
• Statistical Learning Theory — 9 citations into it
• Molecular Biology — 8 citations into it
• Signal Processing — 8 citations into it

Whom Jialin Pan trusts overall

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

1. Bernhard Schölkopf
2. Wenyuan Dai
3. Christopher K. I. Williams
4. Alex Smola
5. Arthur Gretton
6. Geoffrey E. Hinton
7. Andrew Y. Ng
8. Yoshua Bengio
9. Thorsten Joachims
10. Alex Krizhevsky

Papers from Jialin Pan's perspective

Ordered by how strongly the researchers Jialin Pan 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. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Feature-based transfer learning with real-world applications (2010) — 28 citations