Yen-Hao Huang

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 17 citations into it
• Natural Language Processing — 7 citations into it

Whom Yen-Hao Huang trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Yoon Kim
4. Alec Go
5. Jonathon Read
6. Saif M. Mohammad
7. Yann LeCun
8. Tomas Mikolov
9. Vinod Nair
10. Junbo Jake Zhao

Papers from Yen-Hao Huang's perspective

Ordered by how strongly the researchers Yen-Hao Huang trusts endorse each paper. Same corpus, a different order for every researcher.

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Attention is All you Need (Neural Information Processing Systems)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Rectified Linear Units Improve Restricted Boltzmann Machines
8. Efficient Estimation of Word Representations in Vector Space
9. Improving neural networks by preventing co-adaptation of feature detectors
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• CARER: Contextualized Affect Representations for Emotion Recognition (2018) — 503 citations