Jaekyoung Bae

Generative Models · 2020

A researcher in the Science corpus: 1 paper; trusts 28 researchers and is trusted by 98 researchers here, as inferred from the citation graph.

Subfields

• Generative Models — 13 citations into it; #189 of 1,956 by trust here, #426 by citations
• Artificial Intelligence — 12 citations into it
• Signal Processing — 11 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it
• Speech & Audio — 7 citations into it

Whom Jaekyoung Bae trusts overall

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

1. Diederik P. Kingma
2. Aäron van den Oord
3. Wei Ping
4. Geoffrey E. Hinton
5. Individualized Treat
6. Yoshua Bengio
7. Ilya Loshchilov
8. Alex Krizhevsky
9. Karen Simonyan
10. Kaiming He

Who trusts Jaekyoung Bae overall

1. Rongjie Huang
2. Xu Tan
3. Cong Han
4. Yi Ren
5. Hubert Siuzdak
6. Jinglin Liu
7. Evgeny Kharitonov
8. Dongchao Yang
9. Zhou Zhao
10. Songxiang Liu

Papers from Jaekyoung Bae's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. GENERATIVE ADVERSARIAL NETS
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis (2020) — 2,760 citations