Liudmila Ostroumova
Artificial Intelligence · 2017
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 10 citations into it
- Optimization & Training — 6 citations into it
Whom Liudmila Ostroumova trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jerome H. Friedman
- L. Eon Bottou
- R. Caruana
- Tianqi Chen
- Lior Rokach
- Yanru Zhang
- J. Langford
- Yann LeCun
- Guolin Ke
- B. Roe
Who trusts Liudmila Ostroumova overall
- John T. Hancock
- Noah Hollmann
- Samuel G. Müller
- Ravid Shwartz-Ziv
- Ibomoiye Domor Mienye
- Ian Covert
- Fahime Same
- Bernhard Schäfl
- Huanjing Wang
- Abhimanyu Das
Papers from Liudmila Ostroumova's perspective
Ordered by how strongly the researchers Liudmila Ostroumova 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)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- CatBoost: unbiased boosting with categorical features (2017) — 6,070 citations