Hyun Kim

Natural Language Processing · with Lee · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 24 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 10 citations into it; #3,639 of 5,688 by trust here, #5,412 by citations
• Artificial Intelligence — 9 citations into it; #21,128 of 35,345 by trust here, #29,412 by citations
• Evaluation & Benchmarks — 6 citations into it

Whom Hyun Kim trusts overall

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

1. Philipp Koehn
2. Dzmitry Bahdanau
3. Kyunghyun Cho
4. Matthew G. Snover
5. David Weiss
6. Lucia Specia
7. Yoshua Bengio
8. Julia Kreutzer
9. Bonnie J. Dorr
10. Kashif Shah

Who trusts Hyun Kim overall

1. Julia Kreutzer
2. Sorami Hisamoto
3. André F. T. Martins
4. Ondrej Bojar
5. Marina Fomicheva
6. Matt Post
7. Joshua Uyheng
8. Marcin Junczys-Dowmunt
9. Rajen Chatterjee

Papers from Hyun Kim's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Long Short-Term Memory
6. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
7. Gradient-based learning applied to document recognition
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• Predictor-Estimator using Multilevel Task Learning with Stack Propagation for Neural Quality Estimation (2017) — 145 citations
• Recurrent Neural Network based Translation Quality Estimation (2016) — 34 citations