Moon-Jung Chae
Artificial Intelligence · 2018
A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 19 citations into it
- Natural Language Processing — 12 citations into it
- Computer Vision and Pattern Recognition — 10 citations into it
Whom Moon-Jung Chae trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ilya Sutskever
- Geoffrey E. Hinton
- Diederik P. Kingma
- Alex Krizhevsky
- Kyunghyun Cho
- Yoshua Bengio
- Oriol Vinyals
- Sepp Hochreiter
- Dzmitry Bahdanau
- Alex Graves
Who trusts Moon-Jung Chae overall
Papers from Moon-Jung Chae's perspective
Ordered by how strongly the researchers Moon-Jung Chae 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
- Attention is All you Need (Neural Information Processing Systems)
- 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)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)