Mohammed Latif Siddiq

Artificial Intelligence · 2022

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

Subfields

• Artificial Intelligence — 16 citations into it

Whom Mohammed Latif Siddiq trusts overall

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

1. Ilya Sutskever
2. Jacob Devlin
3. Sid Black
4. Leo Gao
5. Ashish Vaswani
6. Oriol Vinyals
7. Geoffrey E. Hinton
8. Yoshua Bengio
9. Dan Hendrycks
10. Diederik P. Kingma

Who trusts Mohammed Latif Siddiq overall

1. Gustavo Sandoval

Papers from Mohammed Latif Siddiq's perspective

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

Their papers

• An Empirical Study of Code Smells in Transformer-based Code Generation Techniques (2022) — 102 citations