Steven Cao

Artificial Intelligence · 2018–2021

A researcher in the Science corpus: 2 papers; trusts 50 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 36 citations into it; #21,671 of 35,345 by trust here, #19,873 by citations
• Natural Language Processing — 32 citations into it; #3,699 of 5,688 by trust here, #4,539 by citations
• Large Language Models — 7 citations into it
• Computer Vision and Pattern Recognition — 6 citations into it
• Evaluation & Benchmarks — 6 citations into it
• Representation & Self-Supervised Learning — 6 citations into it
• Safety, Robustness & Interpretability — 6 citations into it
• Efficiency & Compression — 5 citations into it

Whom Steven Cao trusts overall

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

1. Jacob Devlin
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Tiago Pimentel
5. John Hewitt
6. Yoshua Bengio
7. Tomas Mikolov
8. E. Tjong Kim Sang
9. Ilya Sutskever
10. Alex Krizhevsky

Who trusts Steven Cao overall

1. Arthur Conmy
2. Junru Zhou
3. Daniel Fried
4. Tianze Shi
5. Augustine N. Mavor-Parker
6. Koustuv Sinha
7. Leonard Bereska
8. Yizhong Wang

Papers from Steven Cao's perspective

Ordered by how strongly the researchers Steven Cao trusts endorse each paper. Same corpus, a different order for every researcher.

1. Attention is All you Need (Neural Information Processing Systems)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
7. Gradient-based learning applied to document recognition
8. ImageNet: A large-scale hierarchical image database
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Multilingual Constituency Parsing with Self-Attention and Pre-Training (2018) — 287 citations
• Low-Complexity Probing via Finding Subnetworks (2021) — 77 citations