Nikita Ivkin

Artificial Intelligence · 2020

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 59 citations into it
• Optimization & Training — 24 citations into it
• Federated & Distributed Learning — 19 citations into it
• Computer Vision and Pattern Recognition — 14 citations into it
• Electrical and Electronic Engineering — 5 citations into it

Whom Nikita Ivkin trusts overall

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

1. Frank Hutter
2. Alex Krizhevsky
3. Holger H. Hoos
4. Sebastian U. Stich
5. Geoffrey E. Hinton
6. Ilya Sutskever
7. Tianqi Chen

Papers from Nikita Ivkin's perspective

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

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

Their papers

• FetchSGD: Communication-Efficient Federated Learning with Sketching (2020) — 432 citations
• Amazon SageMaker Autopilot: a white box AutoML solution at scale (2020) — 77 citations