Kyusong Lee

Artificial Intelligence · 2017–2020

A researcher in the Science corpus: 3 papers; trusts 156 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 81 citations into it; #19,097 of 35,345 by trust here, #17,412 by citations
• Natural Language Processing — 60 citations into it; #3,285 of 5,688 by trust here, #3,687 by citations
• Computer Vision and Pattern Recognition — 32 citations into it; #16,873 of 21,575 by trust here, #16,367 by citations
• Information Retrieval & Search — 24 citations into it; #690 of 1,022 by trust here, #771 by citations
• Evaluation & Benchmarks — 18 citations into it
• Model Architectures — 7 citations into it
• Reinforcement Learning — 6 citations into it

Whom Kyusong Lee trusts overall

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

1. Geoffrey E. Hinton
2. Diederik P. Kingma
3. Yoshua Bengio
4. Ilya Sutskever
5. Alex Krizhevsky
6. Oriol Vinyals
7. Sepp Hochreiter
8. Alex Graves
9. Yann LeCun
10. Jimmy Ba

Who trusts Kyusong Lee overall

1. Carel van Niekerk
2. Christian Geishauser
3. Hsien-Chin Lin
4. Thibault Formal
5. Nurul Lubis
6. Chien-Sheng Wu
7. Michael Heck

Papers from Kyusong Lee's perspective

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

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

Their papers

• Generative Encoder-Decoder Models for Task-Oriented Spoken Dialog Systems with Chatting Capability (2017) — 89 citations
• SPARTA: Efficient Open-Domain Question Answering via Sparse Transformer Matching Retrieval (2020) — 110 citations
• DialCrowd: A toolkit for easy dialog system assessment (2018) — 16 citations