Ekaterina Gonina

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 3 papers; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 55 citations into it
• Optimization & Training — 31 citations into it
• Computer Vision and Pattern Recognition — 27 citations into it
• Management Science and Operations Research — 16 citations into it
• Neural Architecture Search & AutoML — 14 citations into it
• Model Architectures — 10 citations into it

Whom Ekaterina Gonina trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Aaron Klein
4. Kevin Swersky
5. Frank Hutter
6. Yoshua Bengio
7. Stefan Falkner
8. Kevin G. Jamieson
9. Ilya Sutskever
10. Jasper Snoek

Papers from Ekaterina Gonina's perspective

Ordered by how strongly the researchers Ekaterina Gonina trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Learning Multiple Layers of Features from Tiny Images
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Long Short-Term Memory
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Et al

Their papers

• Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling (2019) — 215 citations
• A System for Massively Parallel Hyperparameter Tuning (2018) — 521 citations
• Massively Parallel Hyperparameter Tuning (2018) — 193 citations