Sun Kim
Artificial Intelligence · 2017
A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 13 citations into it
- Natural Language Processing — 11 citations into it
Whom Sun Kim trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yann LeCun
- Tomas Mikolov
- Matthew D. Zeiler
- Geoffrey E. Hinton
- Ilya Sutskever
- Alex Krizhevsky
- Yoshua Bengio
- Karen Simonyan
- Aliaksei Severyn
- Richard Socher
Papers from Sun Kim's perspective
Ordered by how strongly the researchers Sun Kim 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)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)