Jooyoung Chang

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 199 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 34 citations into it
• Computer Vision and Pattern Recognition — 31 citations into it
• Representation & Self-Supervised Learning — 17 citations into it
• Optimization & Training — 14 citations into it

Whom Jooyoung Chang trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Kaiming He
4. Diederik P. Kingma
5. Yoshua Bengio
6. Christian Szegedy
7. Ross B. Girshick
8. Ilya Sutskever
9. Yann LeCun
10. Quoc V. Le

Who trusts Jooyoung Chang overall

1. Fartash Faghri

Papers from Jooyoung Chang's perspective

Ordered by how strongly the researchers Jooyoung Chang 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• A Generalized Supervised Contrastive Learning Framework (2022) — 3 citations