Kai-Hsiang Cheng

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 6 citations into it

Whom Kai-Hsiang Cheng trusts overall

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

1. Gregory R. Koch
2. Min-Ling Zhang
3. Jake Snell
4. Oriol Vinyals
5. Brian McFee
6. Jort Florent Gemmeke
7. Zhi-Hua Zhou
8. D. Ellis
9. Kevin Swersky
10. Annamaria Mesaros

Who trusts Kai-Hsiang Cheng overall

1. Eduardo Fonseca

Papers from Kai-Hsiang Cheng's perspective

Ordered by how strongly the researchers Kai-Hsiang Cheng trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. ImageNet: A large-scale hierarchical image database
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Multi-label Few-shot Learning for Sound Event Recognition (2019) — 30 citations