Yotaro Watanabe
Generative Models · 2021
A researcher in the Science corpus: 1 paper; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Generative Models — 26 citations into it
- Computer Vision and Pattern Recognition — 21 citations into it
- Artificial Intelligence — 14 citations into it
- Statistical and Nonlinear Physics — 10 citations into it
- Probabilistic & Bayesian Methods — 6 citations into it
Whom Yotaro Watanabe trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Yotaro Watanabe's perspective
Ordered by how strongly the researchers Yotaro Watanabe trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Deep Learning Face Attributes in the Wild
- Long Short-Term Memory
- GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium
- Learning Multiple Layers of Features from Tiny Images