Heeyoung Kwon

Natural Language Processing · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 29 citations into it
• Artificial Intelligence — 27 citations into it
• Evaluation & Benchmarks — 10 citations into it

Whom Heeyoung Kwon trusts overall

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

1. Tushar Khot
2. Diederik P. Kingma
3. Peter Clark
4. Daniel Khashabi
5. Ashish Sabharwal
6. Jimmy Ba
7. Geoffrey E. Hinton
8. George A. Miller
9. Yoshua Bengio
10. Alec Radford

Who trusts Heeyoung Kwon overall

1. Vikas Yadav
2. Clara Vania

Papers from Heeyoung Kwon's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Attention is All you Need (Neural Information Processing Systems)
3. Long Short-Term Memory
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. ImageNet classification with deep convolutional neural networks
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

• Repurposing Entailment for Multi-Hop Question Answering Tasks (2019) — 50 citations
• Controlling Information Aggregation for Complex Question Answering (2018) — 13 citations