Tao Xu

Artificial Intelligence · with Kim · 2022

A researcher in the Science corpus: 2 papers; trusts 26 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 120 citations into it
• Natural Language Processing — 52 citations into it
• Computer Vision and Pattern Recognition — 46 citations into it
• Model Architectures — 8 citations into it

Whom Tao Xu trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Ilya Sutskever
4. Diederik P. Kingma
5. Alex Krizhevsky
6. Yann LeCun
7. Kaiming He
8. Alex Graves
9. Tomas Mikolov
10. Oriol Vinyals

Who trusts Tao Xu overall

1. Niklas Muennighoff
2. Liang Wang

Papers from Tao Xu's perspective

Ordered by how strongly the researchers Tao Xu 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. Attention is All you Need (Neural Information Processing Systems)
3. ImageNet classification with deep convolutional neural networks
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Robust Speech Recognition via Large-Scale Weak Supervision (2022) — 7,824 citations
• Text and Code Embeddings by Contrastive Pre-Training (2022) — 613 citations