Mehdi Ghatee

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 238 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 60 citations into it
• Computer Vision and Pattern Recognition — 46 citations into it
• Optimization & Training — 29 citations into it
• Efficiency & Compression — 18 citations into it
• Model Architectures — 18 citations into it
• Representation & Self-Supervised Learning — 10 citations into it
• Generative Models — 6 citations into it
• Control and Systems Engineering — 5 citations into it

Whom Mehdi Ghatee trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Kaiming He
4. Alex Krizhevsky
5. Ronald J. Williams
6. Sergey Ioffe
7. Yann LeCun
8. Vladimir Naumovich Vapnik
9. Diederik P. Kingma
10. Jimmy Ba

Papers from Mehdi Ghatee's perspective

Ordered by how strongly the researchers Mehdi Ghatee 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• A systematic review on overfitting control in shallow and deep neural networks (2021) — 477 citations