Kenneth A. Iczkowski
Computer Vision and Pattern Recognition · 2020–2021
A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 13 citations into it
- Generative Models — 6 citations into it
Whom Kenneth A. Iczkowski trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Kenneth A. Iczkowski's perspective
Ordered by how strongly the researchers Kenneth A. Iczkowski trusts endorse each paper. Same corpus, a different order for every researcher.
- Progressive Growing of GANs for Improved Quality, Stability, and Variation
- GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium
- Analyzing and Improving the Image Quality of StyleGAN
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- A Style-Based Generator Architecture for Generative Adversarial Networks
- Training Generative Adversarial Networks with Limited Data
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Going deeper with convolutions