Tesi Xiao

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 15 citations into it
• Computer Vision and Pattern Recognition — 9 citations into it
• Optimization & Training — 5 citations into it
• Statistical and Nonlinear Physics — 5 citations into it

Whom Tesi Xiao trusts overall

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

1. Xavier Gastaldi
2. W. E
3. Maizar Raissi
4. Nicholas Carlini
5. Dan Hendrycks
6. Geoffrey E. Hinton
7. Kaiming He
8. Alex Krizhevsky
9. Ilya Sutskever

Papers from Tesi Xiao's perspective

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

Their papers

• Neural SDE: Stabilizing Neural ODE Networks with Stochastic Noise (2019) — 171 citations