Youngjin Jang
Artificial Intelligence · with Kim · 2020
A researcher in the Science corpus: 1 paper; trusts 33 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 20 citations into it
- Natural Language Processing — 11 citations into it; #4,070 of 5,688 by trust here, #5,662 by citations
- Information Retrieval & Search — 10 citations into it
- Computer Vision and Pattern Recognition — 6 citations into it
- Information Systems — 5 citations into it
Whom Youngjin Jang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Nick Craswell
- Kyunghyun Cho
- Yoshua Bengio
- Geoffrey E. Hinton
- Nal Kalchbrenner
- Jimmy Ba
- Rodrigo Nogueira
- Ashish Vaswani
- Ilya Sutskever
Who trusts Youngjin Jang overall
Papers from Youngjin Jang's perspective
Ordered by how strongly the researchers Youngjin Jang trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- 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
- 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)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)