Sai Aparna Aketi

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 55 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 29 citations into it
• Artificial Intelligence — 28 citations into it
• Efficiency & Compression — 21 citations into it

Whom Sai Aparna Aketi trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Geoffrey E. Hinton
4. Robert Tibshirani
5. Diederik P. Kingma
6. Jia Deng
7. Yann LeCun
8. Yoshua Bengio
9. Zhuang Liu
10. X. Zhang

Who trusts Sai Aparna Aketi overall

1. Abhishek Singh

Papers from Sai Aparna Aketi's perspective

Ordered by how strongly the researchers Sai Aparna Aketi 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. ImageNet: A large-scale hierarchical image database
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Learning Multiple Layers of Features from Tiny Images
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Long Short-Term Memory
9. Attention is All you Need (Neural Information Processing Systems)
10. Going deeper with convolutions

Their papers

• Gradual Channel Pruning While Training Using Feature Relevance Scores for Convolutional Neural Networks (2020) — 29 citations