Jaehyeong Jo
Generative Models · 2022
A researcher in the Science corpus: 1 paper; trusts 70 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Generative Models — 23 citations into it
- Artificial Intelligence — 19 citations into it
- Computer Vision and Pattern Recognition — 19 citations into it
- Computational Theory and Mathematics — 11 citations into it
- Statistical and Nonlinear Physics — 11 citations into it
- Graph Learning — 10 citations into it
- Molecular Biology — 10 citations into it
- Materials Chemistry — 8 citations into it
Whom Jaehyeong Jo trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yang Song
- Radford M. Neal
- Aapo Hyvärinen
- Diederik P. Kingma
- Geoffrey E. Hinton
- Stefano Ermon
- Yoshua Bengio
- Alex Krizhevsky
- B.D.O. Anderson
- Kaiming He
Who trusts Jaehyeong Jo overall
Papers from Jaehyeong Jo's perspective
Ordered by how strongly the researchers Jaehyeong Jo 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)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- GENERATIVE ADVERSARIAL NETS
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)