Tianduo Wang

Artificial Intelligence · 2024

A researcher in the Science corpus: 1 paper; trusts 22 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 27 citations into it
• Evaluation & Benchmarks — 12 citations into it
• Natural Language Processing — 10 citations into it
• Computer Vision and Pattern Recognition — 7 citations into it
• Model Architectures — 7 citations into it

Whom Tianduo Wang trusts overall

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

1. Noam Shazeer
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Tri Dao
5. Diederik P. Kingma
6. Alex Krizhevsky
7. Ilya Loshchilov
8. Ilya Sutskever
9. Kaiming He
10. Ashish Vaswani

Papers from Tianduo Wang's perspective

Ordered by how strongly the researchers Tianduo Wang 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. ImageNet classification with deep convolutional neural networks
4. Long Short-Term Memory
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. ImageNet: A large-scale hierarchical image database
8. Gradient-based learning applied to document recognition
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• TinyLlama: An Open-Source Small Language Model (2024) — 811 citations