Pavel Ostyakov
Computer Vision and Pattern Recognition · 2018–2019
A researcher in the Science corpus: 3 papers; trusts 231 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 62 citations into it
- Artificial Intelligence — 60 citations into it
- Representation & Self-Supervised Learning — 24 citations into it
- Model Architectures — 13 citations into it
- Generative Models — 9 citations into it
- Optimization & Training — 8 citations into it
Whom Pavel Ostyakov trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Kaiming He
- Geoffrey E. Hinton
- Alex Krizhevsky
- Yoshua Bengio
- Jia Deng
- Yann LeCun
- Jimmy Ba
- Ross B. Girshick
- Ilya Sutskever
Who trusts Pavel Ostyakov overall
Papers from Pavel Ostyakov's perspective
Ordered by how strongly the researchers Pavel Ostyakov trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images
Their papers
- The Inclusive Images Competition (2019) — 19 citations
- Adapting Convolutional Neural Networks for Geographical Domain Shift (2019) — 3 citations
- Label Denoising with Large Ensembles of Heterogeneous Neural Networks (2018) — 30 citations