Mingtian Tan

Safety, Robustness & Interpretability · 2018

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Safety, Robustness & Interpretability — 23 citations into it
• Artificial Intelligence — 19 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it
• Signal Processing — 5 citations into it

Whom Mingtian Tan trusts overall

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

1. Ian J. Goodfellow
2. Nicholas Carlini
3. Christian Szegedy
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Yoshua Bengio
7. Jiawei Su
8. Yann LeCun
9. Diederik P. Kingma
10. David A. Wagner

Papers from Mingtian Tan's perspective

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

Their papers

• A survey of practical adversarial example attacks (2018) — 52 citations