Chacha Chen

Artificial Intelligence · with Lai · 2021

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 61 citations into it
• Safety, Robustness & Interpretability — 31 citations into it
• Safety Research — 29 citations into it
• Computer Vision and Pattern Recognition — 16 citations into it

Whom Chacha Chen trusts overall

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

1. Ben Green
2. Marco Tulio Ribeiro
3. Todd Kulesza
4. Vivian Lai
5. Ming Yin
6. Geoffrey E. Hinton
7. Simone Stumpf
8. Berkeley J. Dietvorst
9. Brian Y. Lim
10. Yunfeng Zhang

Papers from Chacha Chen's perspective

Ordered by how strongly the researchers Chacha Chen 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. 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. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. ImageNet Large Scale Visual Recognition Challenge
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Towards a Science of Human-AI Decision Making: A Survey of Empirical Studies (2021) — 249 citations