Payap Sirinam

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 24 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 22 citations into it
• Computer Vision and Pattern Recognition — 13 citations into it
• Computer Networks and Communications — 8 citations into it
• Model Architectures — 6 citations into it

Whom Payap Sirinam trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Christian Szegedy
4. Karen Simonyan
5. Tao Wang
6. Kaiming He
7. Sergey Ioffe
8. Yoshua Bengio
9. Ilya Sutskever
10. Individualized Treat

Papers from Payap Sirinam's perspective

Ordered by how strongly the researchers Payap Sirinam 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. 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. Going deeper with convolutions
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Deep Fingerprinting: Undermining Website Fingerprinting Defenses with Deep Learning (2018) — 680 citations