Hyun-Wook Yoon

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 21 citations into it; #34,494 of 35,345 by trust here, #29,412 by citations

Whom Hyun-Wook Yoon trusts overall

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

1. Diederik P. Kingma
2. Jimmy Ba
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Aäron van den Oord
6. Alex Krizhevsky
7. Alex Graves
8. Yuxuan Wang
9. Kyunghyun Cho
10. Ilya Sutskever

Who trusts Hyun-Wook Yoon overall

1. Sang-Hoon Lee
2. Hyung-Seok Oh
3. Xu Tan
4. Ji-Hoon Kim

Papers from Hyun-Wook Yoon's perspective

Ordered by how strongly the researchers Hyun-Wook Yoon 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. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Multi-SpectroGAN: High-Diversity and High-Fidelity Spectrogram Generation with Adversarial Style Combination for Speech Synthesis (2020) — 60 citations