M. Chenaghlu

Artificial Intelligence · 2024

A researcher in the Science corpus: 1 paper; trusts 23 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 147 citations into it
• Large Language Models — 73 citations into it
• Natural Language Processing — 54 citations into it
• Computer Vision and Pattern Recognition — 51 citations into it

Whom M. Chenaghlu trusts overall

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

1. Yoshua Bengio
2. Geoffrey E. Hinton
3. Ilya Sutskever
4. Diederik P. Kingma
5. Alec Radford
6. Alex Krizhevsky
7. Tomas Mikolov
8. Alex Graves
9. Yann LeCun
10. Oriol Vinyals

Papers from M. Chenaghlu's perspective

Ordered by how strongly the researchers M. Chenaghlu 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. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
8. Gradient-based learning applied to document recognition
9. ImageNet: A large-scale hierarchical image database
10. Language Models are Unsupervised Multitask Learners

Their papers

• Large Language Models: A Survey (2024) — 1,030 citations