Evgenii Egorov
Artificial Intelligence · 2019
A researcher in the Science corpus: 2 papers; trusts 22 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 34 citations into it; #22,083 of 35,345 by trust here, #32,362 by citations
- Computer Vision and Pattern Recognition — 20 citations into it; #13,691 of 21,575 by trust here, #20,756 by citations
- Probabilistic & Bayesian Methods — 18 citations into it
- Generative Models — 9 citations into it; #1,273 of 1,956 by trust here, #1,926 by citations
- Statistics and Probability — 6 citations into it
- Representation & Self-Supervised Learning — 5 citations into it
Whom Evgenii Egorov trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Max Welling
- Diederik P. Kingma
- Geoffrey E. Hinton
- Yingzhen Li
- Chu Wang
- Yoshua Bengio
- Radford M. Neal
- Yann LeCun
- Alex Krizhevsky
- Michael I. Jordan
Who trusts Evgenii Egorov overall
Papers from Evgenii Egorov's perspective
Ordered by how strongly the researchers Evgenii Egorov trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- GENERATIVE ADVERSARIAL NETS
- Auto-Encoding Variational Bayes (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- BooVAE: Boosting Approach for Continual Learning of VAE (2019) — 34 citations
- MaxEntropy Pursuit Variational Inference (2019) — 3 citations