Muhammad Saqib

Artificial Intelligence · with Anwar · 2023

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 304 citations into it
• Computer Vision and Pattern Recognition — 112 citations into it
• Efficiency & Compression — 27 citations into it
• Model Architectures — 27 citations into it

Whom Muhammad Saqib trusts overall

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

1. Noam Shazeer
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Diederik P. Kingma
5. Ilya Sutskever
6. Alex Krizhevsky
7. Kaiming He
8. Yann LeCun
9. Alec Radford
10. Alex Graves

Papers from Muhammad Saqib's perspective

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

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

Their papers

• A Comprehensive Overview of Large Language Models (2023) — 1,803 citations