Ji Young Lee

Artificial Intelligence · 2016

A researcher in the Science corpus: 2 papers; trusts 40 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 31 citations into it; #10,284 of 35,345 by trust here, #15,866 by citations
• Natural Language Processing — 30 citations into it
• Model Architectures — 9 citations into it
• Representation & Self-Supervised Learning — 9 citations into it
• Evaluation & Benchmarks — 5 citations into it

Whom Ji Young Lee trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Tomas Mikolov
2. Yoon Kim
3. Matthew D. Zeiler
4. Sepp Hochreiter
5. Ronan Collobert
6. Richard Socher
7. Christopher D. Manning
8. Geoffrey E. Hinton
9. Yoshua Bengio
10. Ilya Sutskever

Who trusts Ji Young Lee overall

1. Manaal Faruqui
2. Weiwei Hu
3. Jianfeng Gao
4. Rabee Sohail Malik
5. Franck Dernoncourt
6. Yuan Luo
7. Jinjie Ni
8. Kamran Kowsari
9. Dipanjan Das
10. Ying Tan

Papers from Ji Young Lee's perspective

Ordered by how strongly the researchers Ji Young Lee trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Long Short-Term Memory
4. Attention is All you Need (Neural Information Processing Systems)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
8. ImageNet: A large-scale hierarchical image database
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Sequential Short-Text Classification with Recurrent and Convolutional Neural Networks (2016) — 469 citations
• De-identification of patient notes with recurrent neural networks (2016) — 433 citations