Jongyoon Song
Artificial Intelligence · 2018
A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 10 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 13 citations into it; #13,849 of 35,345 by trust here, #11,750 by citations
- Computer Vision and Pattern Recognition — 5 citations into it
- Generative Models — 5 citations into it; #874 of 1,956 by trust here, #922 by citations
- Probabilistic & Bayesian Methods — 5 citations into it
Whom Jongyoon Song trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Danilo Jimenez Rezende
- Wei Ping
- Aäron van den Oord
- Geoffrey E. Hinton
- Yoshua Bengio
- Jimmy Ba
- Laurent Dinh
- Alex Krizhevsky
- Alex Graves
Who trusts Jongyoon Song overall
Papers from Jongyoon Song's perspective
Ordered by how strongly the researchers Jongyoon Song trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- 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
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- WaveNet: A Generative Model for Raw Audio
Their papers
- FloWaveNet : A Generative Flow for Raw Audio (2018) — 181 citations