Pei-Hung Chung

Computer Vision and Pattern Recognition · 2020

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

Subfields

• Computer Vision and Pattern Recognition — 9 citations into it

Whom Pei-Hung Chung trusts overall

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

1. Geoffrey E. Hinton
2. L. V. D. van der Maaten
3. Ilya Loshchilov
4. Yoshua Bengio
5. Alex Krizhevsky
6. Diederik P. Kingma
7. Kaiming He
8. Ilya Sutskever
9. Alec Radford
10. Yann LeCun

Who trusts Pei-Hung Chung overall

1. Andy T. Liu
2. Deokjin Seo

Papers from Pei-Hung Chung's perspective

Ordered by how strongly the researchers Pei-Hung Chung 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
6. Long Short-Term Memory
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. Learning Multiple Layers of Features from Tiny Images

Their papers

• Audio Albert: A Lite Bert for Self-Supervised Learning of Audio Representation (2020) — 166 citations