Mohammad Mustafa Taye
Artificial Intelligence · 2023
A researcher in the Science corpus: 2 papers; trusts 232 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 45 citations into it
- Computer Vision and Pattern Recognition — 30 citations into it
- Information Systems — 8 citations into it
- Signal Processing — 7 citations into it
- Radiology, Nuclear Medicine and Imaging — 6 citations into it
Whom Mohammad Mustafa Taye trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Iqbal H. Sarker
- Yann LeCun
- Yoshua Bengio
- Ruslan Salakhutdinov
- Miroslav Kubat
- Li Deng
- Alex Krizhevsky
- J. Urgen Schmidhuber
- Ilya Sutskever
Papers from Mohammad Mustafa Taye's perspective
Ordered by how strongly the researchers Mohammad Mustafa Taye 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)
- 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
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Learning Multiple Layers of Features from Tiny Images