Yangyiwen Ou

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 Yangyiwen Ou trusts overall

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

1. Eneko Agirre
2. Daniel Matthew Cer
3. Yoshua Bengio

Papers from Yangyiwen Ou's perspective

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

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

Their papers

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