S. Gürbüz
Artificial Intelligence · 2018–2019
A researcher in the Science corpus: 2 papers; trusts 98 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 14 citations into it
- Computer Vision and Pattern Recognition — 10 citations into it
- Aerospace Engineering — 7 citations into it; #4,047 of 6,421 by trust here, #5,385 by citations
- Biomedical Engineering — 7 citations into it; #5,952 of 10,734 by trust here, #9,539 by citations
- Model Architectures — 7 citations into it
- Optimization & Training — 7 citations into it
Whom S. Gürbüz trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Youngwook Kim
- Kaiming He
- Geoffrey E. Hinton
- Alex Krizhevsky
- Yoshua Bengio
- X. Zhang
- Diederik P. Kingma
- Karen Simonyan
- Changzhi Li
- Shaoqing Ren
Who trusts S. Gürbüz overall
Papers from S. Gürbüz's perspective
Ordered by how strongly the researchers S. Gürbüz 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
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Going deeper with convolutions
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images