Muhammad Usman

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 Usman trusts overall

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

1. Noam Shazeer
2. Geoffrey E. Hinton

Papers from Muhammad Usman's perspective

Ordered by how strongly the researchers Muhammad Usman 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. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
7. Language Models are Few-Shot Learners (Neural Information Processing Systems)
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. Gradient-based learning applied to document recognition
10. ImageNet: A large-scale hierarchical image database

Their papers

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