Haidar Khan

Artificial Intelligence · 2018–2022

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 — 69 citations into it

Whom Haidar Khan trusts overall

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

1. Ali H. Shoeb
2. Geoffrey E. Hinton
3. Vinod Nair
4. Avanti Shrikumar
5. Patrice Y. Simard
6. Alex Krizhevsky
7. Yann LeCun
8. Piotr Wojciech Mirowski
9. Florian Mormann
10. Sebastian Stober

Who trusts Haidar Khan overall

1. Hisham G. Daoud
2. Kostas M. Tsiouris
3. Magdy A. Bayoumi

Papers from Haidar Khan's perspective

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

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

Their papers

• AlexaTM 20B: Few-Shot Learning Using a Large-Scale Multilingual Seq2Seq Model (2022) — 91 citations
• Focal Onset Seizure Prediction Using Convolutional Networks (2018) — 307 citations