Jang Hyun Cho
Artificial Intelligence · 2019
A researcher in the Science corpus: 1 paper; trusts 75 researchers and is trusted by 16 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 16 citations into it; #10,957 of 35,345 by trust here, #16,471 by citations
- Computer Vision and Pattern Recognition — 15 citations into it
- Efficiency & Compression — 9 citations into it; #411 of 1,264 by trust here, #852 by citations
- Optimization & Training — 5 citations into it
Whom Jang Hyun Cho trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Sergey Zagoruyko
- Geoffrey E. Hinton
- Kaiming He
- Jimmy Ba
- Alex Krizhevsky
- Nikos Komodakis
- R. Caruana
- Yoshua Bengio
- Gao Huang
- X. Zhang
Who trusts Jang Hyun Cho overall
- Lin Wang
- Ji Zhang
- Liyuan Sun
- Jihao Liu
- Jianping Gou
- Fartash Faghri
- Kuk-Jin Yoon
- Zhilu Zhang
- Zichang Liu
- Zhenyu (Allen) Zhang
Papers from Jang Hyun Cho's perspective
Ordered by how strongly the researchers Jang Hyun Cho trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Going deeper with convolutions
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- On the Efficacy of Knowledge Distillation (2019) — 788 citations