Josiah A. Yoder
Computer Vision and Pattern Recognition · 2021
A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 6 citations into it
- Generative Models — 6 citations into it
Whom Josiah A. Yoder trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Josiah A. Yoder's perspective
Ordered by how strongly the researchers Josiah A. Yoder 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)
- Progressive Growing of GANs for Improved Quality, Stability, and Variation
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium
- Going deeper with convolutions
- GENERATIVE ADVERSARIAL NETS
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)