Matvey Soloviev

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 29 citations into it; #23,318 of 35,345 by trust here, #24,417 by citations
• Safety, Robustness & Interpretability — 14 citations into it; #1,757 of 2,251 by trust here, #1,945 by citations
• Statistics and Probability — 8 citations into it
• Computer Vision and Pattern Recognition — 7 citations into it

Whom Matvey Soloviev trusts overall

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

1. Scott M. Lundberg
2. Been Kim
3. Zachary Chase Lipton
4. Geoffrey E. Hinton
5. Yann LeCun
6. L. V. D. van der Maaten
7. Finale Doshi-Velez
8. Jacob Bien
9. Andy Liaw
10. Giles Hooker

Who trusts Matvey Soloviev overall

1. Riccardo Guidotti
2. Dino Pedreschi
3. Thibaut Vidal
4. Xun Zhao

Papers from Matvey Soloviev's perspective

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

1. Gradient-based learning applied to document recognition
2. ImageNet classification with deep convolutional neural networks
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. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. ImageNet Large Scale Visual Recognition Challenge
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• Tree Space Prototypes: Another Look at Making Tree Ensembles Interpretable (2016) — 79 citations