Jaesung Bae
Artificial Intelligence · 2020–2022
A researcher in the Science corpus: 3 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 39 citations into it
- Signal Processing — 30 citations into it
- Speech & Audio — 28 citations into it
- Generative Models — 17 citations into it
- Model Architectures — 6 citations into it
Whom Jaesung Bae trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Yuxuan Wang
- Naihan Li
- Jimmy Ba
- Geoffrey E. Hinton
- Jonathan Shen
- Yoshua Bengio
- Alex Graves
- Alex Krizhevsky
- Daniel Povey
Who trusts Jaesung Bae overall
Papers from Jaesung Bae's perspective
Ordered by how strongly the researchers Jaesung Bae trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- GENERATIVE ADVERSARIAL NETS
- Gradient-based learning applied to document recognition
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database