Ghulam Rasool

Artificial Intelligence · with Ahmed · 2022

A researcher in the Science corpus: 1 paper; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 51 citations into it
• Computer Vision and Pattern Recognition — 35 citations into it
• Model Architectures — 29 citations into it

Whom Ghulam Rasool trusts overall

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

1. Yoshua Bengio
2. Ilya Sutskever
3. Geoffrey E. Hinton
4. Diederik P. Kingma
5. Sepp Hochreiter
6. Alex Krizhevsky

Papers from Ghulam Rasool's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. Long Short-Term Memory
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Layer Normalization
10. Gradient-based learning applied to document recognition

Their papers

• Transformers in Time-Series Analysis: A Tutorial (2022) — 307 citations