Tao Liu

Artificial Intelligence · with Liu · 2018

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 23 citations into it
• Safety, Robustness & Interpretability — 16 citations into it
• Computer Vision and Pattern Recognition — 13 citations into it

Whom Tao Liu trusts overall

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

1. Nicholas Carlini
2. Gregory K. Wallace
3. Ian J. Goodfellow
4. Alexey Kurakin

Papers from Tao Liu's perspective

Ordered by how strongly the researchers Tao Liu 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. Intriguing properties of neural networks
4. Explaining and Harnessing Adversarial Examples
5. Learning Multiple Layers of Features from Tiny Images
6. Gradient-based learning applied to document recognition
7. Et al
8. ImageNet: A large-scale hierarchical image database
9. Long Short-Term Memory
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• Feature Distillation: DNN-Oriented JPEG Compression Against Adversarial Examples (2018) — 336 citations