Chun-Cheng Hsieh

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 Chun-Cheng Hsieh trusts overall

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

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

Papers from Chun-Cheng Hsieh's perspective

Ordered by how strongly the researchers Chun-Cheng Hsieh 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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
5. Long Short-Term Memory
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Dropout: a simple way to prevent neural networks from overfitting
8. Gradient-based learning applied to document recognition
9. ImageNet: A large-scale hierarchical image database
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

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