Siavash Ebrahimi

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 21 citations into it; #35,135 of 35,345 by trust here, #23,077 by citations
• Model Architectures — 9 citations into it
• Signal Processing — 5 citations into it

Whom Siavash Ebrahimi trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Ronald J. Williams
2. Barret Zoph
3. Geoffrey E. Hinton
4. Karen Simonyan
5. Pete Warden
6. Quoc V. Le
7. Alex Krizhevsky
8. Yoshua Bengio
9. Ilya Loshchilov
10. Kaiming He

Who trusts Siavash Ebrahimi overall

1. Dimitrios Stamoulis
2. Mingxing Tan
3. Martin Wistuba
4. Chris Zhang
5. Ting-Wu Chin

Papers from Siavash Ebrahimi's perspective

Ordered by how strongly the researchers Siavash Ebrahimi trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Gradient-based learning applied to document recognition
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• Resource-Efficient Neural Architect (2018) — 64 citations