Joong-Hwi Shin
Artificial Intelligence · 2017
A researcher in the Science corpus: 1 paper; trusts 24 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 12 citations into it; #21,269 of 35,345 by trust here, #25,040 by citations
- Computer Vision and Pattern Recognition — 9 citations into it; #13,265 of 21,575 by trust here, #16,367 by citations
- Natural Language Processing — 9 citations into it; #3,625 of 5,688 by trust here, #4,601 by citations
Whom Joong-Hwi Shin trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Zhaopeng Tu
- Rico Sennrich
- Ilya Sutskever
- Hany Hassan
- Andrej Karpathy
- Markus Freitag
- Yoshua Bengio
- Jiwei Li
- Geoffrey E. Hinton
- Dzmitry Bahdanau
Who trusts Joong-Hwi Shin overall
Papers from Joong-Hwi Shin's perspective
Ordered by how strongly the researchers Joong-Hwi Shin trusts endorse each paper. Same corpus, a different order for every researcher.
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- Interactive Visualization and Manipulation of Attention-based Neural Machine Translation (2017) — 84 citations