S. Skakun
Computer Vision and Pattern Recognition · 2017
A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 11 citations into it
- Environmental Engineering — 8 citations into it
- Artificial Intelligence — 7 citations into it
Whom S. Skakun trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts S. Skakun overall
Papers from S. Skakun's perspective
Ordered by how strongly the researchers S. Skakun trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Learning
- Pattern Recognition and Machine Learning
- Random Forests
- ImageNet classification with deep convolutional neural networks
- TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
- Gradient-based learning applied to document recognition
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Pegasos: primal estimated sub-gradient solver for SVM
- Going deeper with convolutions