Nazar Khan
Artificial Intelligence · with Ananthanarayanan · 2019
A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 33 citations into it
- Computer Vision and Pattern Recognition — 33 citations into it
Whom Nazar Khan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Nazar Khan's perspective
Ordered by how strongly the researchers Nazar Khan trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
- Gradient-based learning applied to document recognition
- Deep Compression: Compressing Deep Neural Network with Pruning, Trained Quantization and Huffman Coding
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Long Short-Term Memory
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
Their papers
- Machine Learning at the Network Edge: A Survey (2019) — 512 citations