Kirill Struminsky

Optimization & Training · 2018

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Optimization & Training — 11 citations into it
• Artificial Intelligence — 9 citations into it
• Evaluation & Benchmarks — 6 citations into it

Whom Kirill Struminsky trusts overall

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

1. Harish Guruprasad Ramaswamy
2. William S. Dorn
3. Clément Calauzènes
4. Tong Zhang
5. John C. Duchi
6. Shivani Agarwal
7. Anatoli B. Juditsky
8. Francis R. Bach
9. Anton Osokin
10. David Buffoni

Papers from Kirill Struminsky's perspective

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

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

Their papers

• Quantifying Learning Guarantees for Convex but Inconsistent Surrogates (2018) — 6 citations