Jiarun Cao

Natural Language Processing · 2021

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 21 citations into it
• Artificial Intelligence — 18 citations into it
• Representation & Self-Supervised Learning — 10 citations into it
• Evaluation & Benchmarks — 8 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it

Whom Jiarun Cao trusts overall

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

1. Eneko Agirre
2. Daniel Matthew Cer
3. Yoshua Bengio
4. Geoffrey E. Hinton
5. Jeffrey Pennington
6. Jacob Devlin
7. Richard Socher
8. Diederik P. Kingma
9. Mona T. Diab
10. Christopher D. Manning

Who trusts Jiarun Cao overall

1. Yupeng Hou
2. Ziyang Luo
3. Weixin Liang
4. Xuandong Zhao

Papers from Jiarun Cao's perspective

Ordered by how strongly the researchers Jiarun 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. Long Short-Term Memory
4. ImageNet classification with deep convolutional neural networks
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. Gradient-based learning applied to document recognition
8. ImageNet: A large-scale hierarchical image database
9. GloVe: Global Vectors for Word Representation
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• Whitening Sentence Representations for Better Semantics and Faster Retrieval (2021) — 370 citations