Ilia Markov

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 24 citations into it
• Optimization & Training — 23 citations into it
• Computer Networks and Communications — 13 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it
• Computational Mechanics — 6 citations into it

Whom Ilia Markov trusts overall

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

1. Sebastian U. Stich
2. Chih-Jen Lin

Papers from Ilia Markov's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour
3. LIBSVM: A library for support vector machines
4. ImageNet classification with deep convolutional neural networks
5. Gradient-based learning applied to document recognition
6. Large-Scale Machine Learning with Stochastic Gradient Descent
7. Long Short-Term Memory
8. Learning Multiple Layers of Features from Tiny Images
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Distributed Subgradient Methods for Multi-Agent Optimization

Their papers

• PopSGD: Decentralized Stochastic Gradient Descent in the Population Model (2019) — 3 citations