Cheng-Han Huang

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 96 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 36 citations into it
• Computer Vision and Pattern Recognition — 28 citations into it
• Representation & Self-Supervised Learning — 17 citations into it
• Model Architectures — 12 citations into it
• Meta & Continual Learning — 9 citations into it

Whom Cheng-Han Huang trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Yoshua Bengio
4. Sepp Hochreiter
5. Oriol Vinyals
6. Kaiming He
7. Diederik P. Kingma
8. Spyros Gidaris
9. Chih-Jen Lin
10. Yann LeCun

Papers from Cheng-Han Huang's perspective

Ordered by how strongly the researchers Cheng-Han Huang 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. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Going deeper with convolutions
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Few-Shot and Continual Learning with Attentive Independent Mechanisms (2021) — 34 citations