Kaniz Fatema

Artificial Intelligence · 2015–2024

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 56 citations into it
• Natural Language Processing — 19 citations into it
• Computer Vision and Pattern Recognition — 18 citations into it
• Model Architectures — 9 citations into it

Whom Kaniz Fatema trusts overall

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

1. Alec Radford
2. Noam Shazeer
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Ilya Sutskever
6. Tomas Mikolov
7. Diederik P. Kingma
8. Taku Kudo
9. Alex Krizhevsky
10. Jacob Devlin

Papers from Kaniz Fatema's perspective

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

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

Their papers

• A Review on Large Language Models: Architectures, Applications, Taxonomies, Open Issues and Challenges (2024) — 708 citations
• Effectiveness of Digital Marketing in the Challenging Age: An Empirical Study (2015) — 365 citations