Han Liu

Artificial Intelligence · with Lai · 2021

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 41 citations into it
• Safety, Robustness & Interpretability — 18 citations into it
• Safety Research — 10 citations into it
• Human-Computer Interaction — 9 citations into it
• Natural Language Processing — 7 citations into it

Whom Han Liu trusts overall

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

1. Ben Green
2. Yiling Chen
3. Vivian Lai
4. Marco Tulio Ribeiro
5. Janni Nielsen
6. Himabindu Lakkaraju
7. Fred Hohman
8. Harmanpreet Kaur
9. Gagan Bansal
10. Kaiming He

Who trusts Han Liu overall

1. Vivian Lai
2. Chacha Chen

Papers from Han Liu's perspective

Ordered by how strongly the researchers Han 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• Understanding the Effect of Out-of-distribution Examples and Interactive Explanations on Human-AI Decision Making (2021) — 149 citations