Dalhyun Kim

Artificial Intelligence · 2021

A researcher in the Science corpus: 2 papers; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 28 citations into it
• Generative Models — 24 citations into it
• Signal Processing — 24 citations into it
• Computer Vision and Pattern Recognition — 19 citations into it
• Speech & Audio — 14 citations into it

Whom Dalhyun Kim trusts overall

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

1. Diederik P. Kingma
2. Rewon Child
3. Geoffrey E. Hinton
4. Aäron van den Oord
5. Yoshua Bengio
6. Ilya Loshchilov
7. Alex Krizhevsky
8. Jungil Kong
9. Jimmy Ba
10. Ryan J. Prenger

Papers from Dalhyun Kim's perspective

Ordered by how strongly the researchers Dalhyun Kim 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. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
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

• GAN Vocoder: Multi-Resolution Discriminator Is All You Need (2021) — 33 citations
• Axial Residual Networks for CycleGAN-based Voice Conversion (2021) — 3 citations