Chieh-Chi Kao
Artificial Intelligence · 2019
A researcher in the Science corpus: 2 papers; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 20 citations into it
- Computer Vision and Pattern Recognition — 19 citations into it
- Signal Processing — 13 citations into it
- Efficiency & Compression — 9 citations into it
- Model Architectures — 5 citations into it
Whom Chieh-Chi Kao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Kaiming He
- Alex Krizhevsky
- Yoshua Bengio
- Gao Huang
- Oriol Vinyals
- X. Zhang
- Diederik P. Kingma
- Yann LeCun
- Ross B. Girshick
Who trusts Chieh-Chi Kao overall
Papers from Chieh-Chi Kao's perspective
Ordered by how strongly the researchers Chieh-Chi Kao trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Distilling the Knowledge in a Neural Network (arXiv.org)
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Semi-supervised Acoustic Event Detection Based on Tri-training (2019) — 19 citations
- Compression of Acoustic Event Detection Models With Quantized Distillation (2019) — 14 citations