Taylor Shin

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 24 citations into it
• Natural Language Processing — 17 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it

Whom Taylor Shin trusts overall

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

1. Richard Socher
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Alec Radford
5. Diederik P. Kingma
6. Ilya Sutskever
7. Quoc V. Le
8. Alex Krizhevsky
9. Trieu H. Trinh
10. Daniil Sorokin

Who trusts Taylor Shin overall

1. Adi Haviv
2. Jaemin Cho
3. Sang Michael Xie
4. Kaiyang Zhou
5. Tony Zhao
6. Pengfei Liu
7. Yue Yang
8. Yulong Chen
9. Jonathan Berant
10. Eric Wallace

Papers from Taylor Shin's perspective

Ordered by how strongly the researchers Taylor Shin 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. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
7. ImageNet: A large-scale hierarchical image database
8. Gradient-based learning applied to document recognition
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

• Eliciting Knowledge from Language Models Using Automatically Generated Prompts (2020) — 559 citations