Maxim Egorov Stanford
Artificial Intelligence · 2016
A researcher in the Science corpus: 1 paper; trusts 34 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 11 citations into it
- Reinforcement Learning — 9 citations into it
Whom Maxim Egorov Stanford trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Alex Krizhevsky
- Kaiming He
- Geoffrey E. Hinton
- Lucian Busoniu
- Volodymyr Mnih
- Ilya Sutskever
- Jimmy Ba
- X. Zhang
- Shaoqing Ren
Who trusts Maxim Egorov Stanford overall
- Aleksandra Malysheva
- Daniel Kudenko
- Aleksei Shpilman
- Tegg Taekyong Sung
- Thanh Thi Nguyen
- Marie Ossenkopf
- Chae-Bong Sohn
- Alex Tong Lin
Papers from Maxim Egorov Stanford's perspective
Ordered by how strongly the researchers Maxim Egorov Stanford trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)