Divya Saxena

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 827 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 150 citations into it
• Generative Models — 118 citations into it
• Artificial Intelligence — 67 citations into it
• Signal Processing — 21 citations into it
• Statistical and Nonlinear Physics — 20 citations into it
• Probabilistic & Bayesian Methods — 14 citations into it
• Optimization & Training — 13 citations into it
• Media Technology — 10 citations into it

Whom Divya Saxena trusts overall

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

1. Diederik P. Kingma
2. Yoshua Bengio
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Yann LeCun
6. Kaiming He
7. Ruslan Salakhutdinov
8. Ilya Sutskever
9. Ian J. Goodfellow
10. Alex Graves

Papers from Divya Saxena's perspective

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

Their papers

• Generative Adversarial Networks (GANs) (2020) — 474 citations