Chirag Patel

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 37 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 35 citations into it
• Artificial Intelligence — 34 citations into it
• Efficiency & Compression — 26 citations into it
• Optimization & Training — 6 citations into it
• Model Architectures — 5 citations into it

Whom Chirag Patel trusts overall

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

1. Alex Krizhevsky
2. Yoshua Bengio
3. Geoffrey E. Hinton
4. Diederik P. Kingma
5. Kaiming He
6. L. Eon Bottou
7. Yann LeCun
8. Jimmy Ba
9. Ilya Sutskever
10. Jangho Kim

Papers from Chirag Patel's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Learning Multiple Layers of Features from Tiny Images
5. ImageNet Large Scale Visual Recognition Challenge
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. Distilling the Knowledge in a Neural Network (arXiv.org)

Their papers

• QKD: Quantization-aware Knowledge Distillation (2019) — 82 citations