T. Tan

Artificial Intelligence · with Shokri · 2019

A researcher in the Science corpus: 1 paper; trusts 23 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 22 citations into it; #32,411 of 35,345 by trust here, #26,682 by citations
• Safety, Robustness & Interpretability — 21 citations into it; #2,029 of 2,251 by trust here, #2,014 by citations
• Signal Processing — 7 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it

Whom T. Tan trusts overall

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

1. Alex Krizhevsky
2. Karen Simonyan
3. Gao Huang
4. Andrew Zisserman
5. Geoffrey E. Hinton
6. Nicholas Carlini
7. Brandon Tran
8. Christian Szegedy
9. Johannes Stallkamp
10. Ian J. Goodfellow

Who trusts T. Tan overall

1. Eugene Bagdasarian
2. Yuezun Li
3. Baoyuan Wu
4. Keita Kurita

Papers from T. Tan's perspective

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

Their papers

• Bypassing Backdoor Detection Algorithms in Deep Learning (2019) — 168 citations