Jongyoun Noh
Artificial Intelligence · 2020
A researcher in the Science corpus: 1 paper; trusts 124 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 33 citations into it; #22,028 of 35,345 by trust here, #26,682 by citations
- Computer Vision and Pattern Recognition — 29 citations into it
- Computer Networks and Communications — 8 citations into it; #5,649 of 9,886 by trust here, #6,788 by citations
- Representation & Self-Supervised Learning — 6 citations into it
- Signal Processing — 5 citations into it
Whom Jongyoun Noh trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Alex Krizhevsky
- Geoffrey E. Hinton
- Yoshua Bengio
- L. V. D. van der Maaten
- Sergey Ioffe
- Ilya Sutskever
- Yann LeCun
- Jimmy Ba
- Christian Szegedy
Who trusts Jongyoun Noh overall
Papers from Jongyoun Noh's perspective
Ordered by how strongly the researchers Jongyoun Noh 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
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Learning Memory-Guided Normality for Anomaly Detection (2020) — 894 citations