Nataly Brukhim
Artificial Intelligence · 2018
A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 24 citations into it; #27,364 of 35,345 by trust here, #28,481 by citations
- Computer Vision and Pattern Recognition — 23 citations into it; #16,786 of 21,575 by trust here, #18,266 by citations
- Model Architectures — 8 citations into it
Whom Nataly Brukhim trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Kaiming He
- Jeffrey L. Elman
- Geoffrey E. Hinton
- Alex Krizhevsky
- Jimmy Ba
- Yoshua Bengio
- Sergey Levine
- Yann LeCun
- Stéphane Ross
Who trusts Nataly Brukhim overall
Papers from Nataly Brukhim's perspective
Ordered by how strongly the researchers Nataly Brukhim 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
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)