Mehtab Khan

Computer Vision and Pattern Recognition · 2023

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

• Computer Vision and Pattern Recognition — 27 citations into it
• Evaluation & Benchmarks — 7 citations into it

Whom Mehtab Khan trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Andrew Y. Ng
5. Yoshua Bengio

Papers from Mehtab Khan's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Gradient-based learning applied to document recognition
6. ImageNet: A large-scale hierarchical image database
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Long Short-Term Memory
9. Language Models are Few-Shot Learners (Neural Information Processing Systems)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• AI Art and its Impact on Artists (2023) — 329 citations