Aizhan Ibraimova
Computer Vision and Pattern Recognition · 2015
A researcher in the Science corpus: 1 paper; trusts 105 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 25 citations into it
- Artificial Intelligence — 16 citations into it
- Efficiency & Compression — 16 citations into it; #1,240 of 1,264 by trust here, #880 by citations
- Model Architectures — 11 citations into it; #2,215 of 2,278 by trust here, #1,548 by citations
Whom Aizhan Ibraimova trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Karen Simonyan
- Kaiming He
- X. Zhang
- Geoffrey E. Hinton
- Andrea Vedaldi
- Andrew Zisserman
- Benjamin Graham
- Ilya Sutskever
- Yoshua Bengio
Who trusts Aizhan Ibraimova overall
Papers from Aizhan Ibraimova's perspective
Ordered by how strongly the researchers Aizhan Ibraimova 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)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Going deeper with convolutions
Their papers
- PerforatedCNNs: Acceleration through Elimination of Redundant Convolutions (2015) — 140 citations