Steve Yuan
Natural Language Processing · 2018–2019
A researcher in the Science corpus: 5 papers; trusts 20 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Natural Language Processing — 94 citations into it; #2,597 of 5,688 by trust here, #791 by citations
- Artificial Intelligence — 89 citations into it; #13,965 of 35,345 by trust here, #3,246 by citations
- Model Architectures — 13 citations into it
Whom Steve Yuan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Graves
- Geoffrey E. Hinton
- Yoshua Bengio
- Holger Schwenk
- J. Urgen Schmidhuber
- Eneko Agirre
- Ilya Sutskever
- Diederik P. Kingma
- Sepp Hochreiter
- Yang Shao
Who trusts Steve Yuan overall
- Yinfei Yang
- Kurt Shuster
- Stephen Roller
- Nils Reimers
- Daniel Matthew Cer
- Prithviraj Ammanabrolu
- Holger Schwenk
- Jianmo Ni
- Amin Ahmad
- Ziyi Yang
Papers from Steve Yuan's perspective
Ordered by how strongly the researchers Steve Yuan trusts endorse each paper. Same corpus, a different order for every researcher.
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- Universal Sentence Encoder (2018) — 2,093 citations
- Learning Semantic Textual Similarity from Conversations (2018) — 167 citations
- Multilingual Universal Sentence Encoder for Semantic Retrieval (2019) — 534 citations
- Universal Sentence Encoder for English (2018) — 1,019 citations
- Improving Multilingual Sentence Embedding using Bi-directional Dual Encoder with Additive Margin Softmax (2019) — 124 citations