Maxim V. Fedorov
Artificial Intelligence · with Arslanov · 2019–2020
A researcher in the Science corpus: 2 papers; trusts 25 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 35 citations into it
- Computer Vision and Pattern Recognition — 15 citations into it
- Model Architectures — 12 citations into it
- Evaluation & Benchmarks — 11 citations into it
- Neural Architecture Search & AutoML — 7 citations into it
- Optimization & Training — 7 citations into it
- Computational Theory and Mathematics — 5 citations into it
Whom Maxim V. Fedorov trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Geoffrey E. Hinton
- Kaiming He
- Ilya Sutskever
- Tomas Mikolov
- Alex Krizhevsky
- Sepp Hochreiter
- Quoc V. Le
- Diederik P. Kingma
- J. Urgen Schmidhuber
Papers from Maxim V. Fedorov's perspective
Ordered by how strongly the researchers Maxim V. Fedorov trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Et al
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)