Byoung-Tak Zhang
Artificial Intelligence · with Kang · 2018
A researcher in the Science corpus: 1 paper; trusts 76 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 14 citations into it
- Computer Vision and Pattern Recognition — 14 citations into it
- Generative Models — 6 citations into it
- Representation & Self-Supervised Learning — 6 citations into it
- Optimization & Training — 5 citations into it
Whom Byoung-Tak Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Graves
- Diederik P. Kingma
- Geoffrey E. Hinton
- Carl Doersch
- Yoshua Bengio
- Individualized Treat
- Kaiming He
- Alex Krizhevsky
- L. V. D. van der Maaten
- Max Welling
Who trusts Byoung-Tak Zhang overall
Papers from Byoung-Tak Zhang's perspective
Ordered by how strongly the researchers Byoung-Tak Zhang 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
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Going deeper with convolutions
- GENERATIVE ADVERSARIAL NETS
- Learning Multiple Layers of Features from Tiny Images