Bo Wang

Artificial Intelligence · with Bader · 2020

A researcher in the Science corpus: 1 paper; trusts 112 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 51 citations into it; #31,705 of 35,345 by trust here, #19,439 by citations
• Natural Language Processing — 40 citations into it
• Computer Vision and Pattern Recognition — 28 citations into it
• Representation & Self-Supervised Learning — 26 citations into it; #2,844 of 3,145 by trust here, #2,263 by citations
• Large Language Models — 10 citations into it

Whom Bo Wang trusts overall

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

1. Geoffrey E. Hinton
2. Kaiming He
3. Yoshua Bengio
4. Alex Krizhevsky
5. Diederik P. Kingma
6. Ilya Sutskever
7. Yann LeCun
8. Alec Radford
9. Ross B. Girshick
10. Ruslan Salakhutdinov

Who trusts Bo Wang overall

1. Niklas Muennighoff

Papers from Bo Wang's perspective

Ordered by how strongly the researchers Bo Wang 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. Attention is All you Need (Neural Information Processing Systems)
4. ImageNet: A large-scale hierarchical image database
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations (2020) — 545 citations