Abdul A. S. Awwal

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 182 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 238 citations into it
• Computer Vision and Pattern Recognition — 230 citations into it
• Model Architectures — 88 citations into it
• Optimization & Training — 39 citations into it
• Representation & Self-Supervised Learning — 31 citations into it
• Probabilistic & Bayesian Methods — 13 citations into it
• Control and Systems Engineering — 8 citations into it

Whom Abdul A. S. Awwal trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Alex Krizhevsky
4. Kaiming He
5. Ilya Sutskever
6. Yann LeCun
7. Diederik P. Kingma
8. Christian Szegedy
9. Alex Graves
10. J. Urgen Schmidhuber

Papers from Abdul A. S. Awwal's perspective

Ordered by how strongly the researchers Abdul A. S. Awwal 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. Going deeper with convolutions
8. ImageNet: A large-scale hierarchical image database
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 State-of-the-Art Survey on Deep Learning Theory and Architectures (2019) — 1,450 citations
• The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches (2018) — 1,014 citations