Kuan-Ting Chen

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 16 citations into it
• Signal Processing — 16 citations into it
• Speech & Audio — 14 citations into it
• Generative Models — 8 citations into it
• Natural Language Processing — 7 citations into it

Whom Kuan-Ting Chen trusts overall

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

1. Xin Eric Wang
2. Aäron van den Oord
3. Individualized Treat
4. Diederik P. Kingma
5. Geoffrey E. Hinton
6. Karen Simonyan
7. Yoshua Bengio
8. Wei Ping
9. Junichi Yamagishi
10. Nal Kalchbrenner

Papers from Kuan-Ting Chen's perspective

Ordered by how strongly the researchers Kuan-Ting Chen 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. GENERATIVE ADVERSARIAL NETS
6. Long Short-Term Memory
7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
8. Gradient-based learning applied to document recognition
9. ImageNet: A large-scale hierarchical image database
10. WaveNet: A Generative Model for Raw Audio

Their papers

• Neural Homomorphic Vocoder (2020) — 26 citations