Chao-Chung Wu
Artificial Intelligence · 2016
A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 23 citations into it; #18,766 of 35,345 by trust here, #16,771 by citations
- Representation & Self-Supervised Learning — 12 citations into it; #1,939 of 3,145 by trust here, #2,042 by citations
- Model Architectures — 8 citations into it
- Natural Language Processing — 8 citations into it
- Computer Vision and Pattern Recognition — 7 citations into it
Whom Chao-Chung Wu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Graves
- J. Urgen Schmidhuber
- Yoshua Bengio
- Geoffrey E. Hinton
- Ilya Sutskever
- Pascal Vincent
- Sepp Hochreiter
- Kyunghyun Cho
- Alex Krizhevsky
- Hugo Larochelle
Who trusts Chao-Chung Wu overall
- Yu-An Chung
- Hung-yi Lee
- Yu-Hsuan Wang
- James R. Glass
- Andy T. Liu
- Yi-Chen Chen
- Lasse Borgholt
- Paul-Ambroise Duquenne
- Jean-Pierre Briot
- Yung-Sung Chuang
Papers from Chao-Chung Wu's perspective
Ordered by how strongly the researchers Chao-Chung Wu trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Going deeper with convolutions