Seonghyeon Park
Artificial Intelligence · 2018
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 6 citations into it
Whom Seonghyeon Park trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Peter Ondruska
- Jimmy Ba
- Geoffrey E. Hinton
- Kyunghyun Cho
- Yoshua Bengio
- Alex Krizhevsky
- Yann LeCun
- Namhoon Lee
- Sepp Hochreiter
Who trusts Seonghyeon Park overall
Papers from Seonghyeon Park's perspective
Ordered by how strongly the researchers Seonghyeon Park trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Sequence-to-Sequence Prediction of Vehicle Trajectory via LSTM Encoder-Decoder Architecture (2018) — 474 citations