Wei Wu

Artificial Intelligence · with Li · 2021

A researcher in the Science corpus: 1 paper; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 28 citations into it
• Natural Language Processing — 21 citations into it
• Representation & Self-Supervised Learning — 17 citations into it
• Computer Vision and Pattern Recognition — 11 citations into it
• Evaluation & Benchmarks — 8 citations into it

Whom Wei Wu trusts overall

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

1. Eneko Agirre
2. Geoffrey E. Hinton
3. Kaiming He
4. Daniel Matthew Cer
5. Alex Krizhevsky
6. Yoshua Bengio
7. Ian J. Goodfellow
8. Ilya Sutskever
9. Alexis Conneau
10. Diederik P. Kingma

Papers from Wei Wu's perspective

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

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

Their papers

• ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation Transfer (2021) — 639 citations