Seungwoo Choi

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 24 citations into it

Whom Seungwoo Choi trusts overall

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

1. Diederik P. Kingma
2. Jimmy Ba
3. Christophe Veaux
4. Ashish Vaswani
5. Yuxuan Wang
6. Geoffrey E. Hinton
7. Li Wan
8. Nal Kalchbrenner
9. Yu Zhang
10. Yoshua Bengio

Who trusts Seungwoo Choi overall

1. Edresson Casanova
2. Xu Tan
3. Christopher Dane Shulby
4. Tao Qin

Papers from Seungwoo Choi's perspective

Ordered by how strongly the researchers Seungwoo Choi 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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet classification with deep convolutional neural networks
5. Long Short-Term Memory
6. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
7. Gradient-based learning applied to document recognition
8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
9. ImageNet: A large-scale hierarchical image database
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Attentron: Few-Shot Text-to-Speech Utilizing Attention-Based Variable-Length Embedding (2020) — 76 citations