Yevgeni Koucheryavy
Computer Vision and Pattern Recognition · 2015–2020
A researcher in the Science corpus: 5 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 35 citations into it
- Signal Processing — 28 citations into it
- Information Systems — 24 citations into it
- Artificial Intelligence — 17 citations into it
Whom Yevgeni Koucheryavy trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- J. Urgen Schmidhuber
- Nitesh V. Chawla
- Mohammed J. Zaki
- Chaomei Chen
- J. Manyika
- Ilya Sutskever
- Federico Castanedo
- Melanie Tory
Papers from Yevgeni Koucheryavy's perspective
Ordered by how strongly the researchers Yevgeni Koucheryavy trusts endorse each paper. Same corpus, a different order for every researcher.
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Pattern Recognition and Machine Learning
- Learning Multiple Layers of Features from Tiny Images
- Attention is All you Need (Neural Information Processing Systems)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Understanding the IoT connectivity landscape: a contemporary M2M radio technology roadmap (2015) — 294 citations
- The internet of Bio-Nano things (2015) — 644 citations
- Non-Terrestrial Networks in 5G & Beyond: A Survey (2020) — 356 citations
- Multi-Factor Authentication: A Survey (2018) — 368 citations
- Visualizing Big Data with augmented and virtual reality: challenges and research agenda (2015) — 299 citations