Taejun Bak

Generative Models · 2022

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

• Generative Models — 14 citations into it

Whom Taejun Bak trusts overall

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

1. Truong Q. Nguyen
2. Individualized Treat
3. Ilya Loshchilov
4. Diederik P. Kingma
5. Geoffrey E. Hinton
6. Aäron van den Oord
7. Yoshua Bengio
8. Tim Salimans
9. Alex Krizhevsky
10. Ryuichi Yamamoto

Who trusts Taejun Bak overall

1. Yanli Li
2. Congyi Wang
3. Hubert Siuzdak

Papers from Taejun Bak's perspective

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

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

• Avocodo: Generative Adversarial Network for Artifact-free Vocoder (2022) — 45 citations