Tsung-Han Wu

Artificial Intelligence · 2020

A researcher in the Science corpus: 2 papers; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 39 citations into it
• Natural Language Processing — 22 citations into it
• Computer Vision and Pattern Recognition — 16 citations into it
• Representation & Self-Supervised Learning — 15 citations into it

Whom Tsung-Han Wu trusts overall

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

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

Papers from Tsung-Han Wu's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
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. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• Audio Albert: A Lite Bert for Self-Supervised Learning of Audio Representation (2020) — 166 citations
• Further Boosting BERT-based Models by Duplicating Existing Layers: Some Intriguing Phenomena inside BERT (2020) — 5 citations