Azal Ahmad Khan
Artificial Intelligence · 2023
A researcher in the Science corpus: 1 paper; trusts 70 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 89 citations into it
- Computer Vision and Pattern Recognition — 32 citations into it
- Information Systems — 15 citations into it
- Statistical Learning Theory — 9 citations into it
- Optimization & Training — 9 citations into it
- Signal Processing — 9 citations into it
- Electrical and Electronic Engineering — 8 citations into it
- Management Science and Operations Research — 8 citations into it
Whom Azal Ahmad Khan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jerome H. Friedman
- Diederik P. Kingma
- J. Ross Quinlan
- Trevor J. Hastie
- Geoffrey E. Hinton
- Yoav Freund
- Taghi M. Khoshgoftaar
- David Hilton Wolpert
- Andrew P. Bradley
- Lior Rokach
Papers from Azal Ahmad Khan's perspective
Ordered by how strongly the researchers Azal Ahmad Khan trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Going deeper with convolutions