Aravind Jayendran

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 26 citations into it
• Generative Models — 23 citations into it
• Artificial Intelligence — 14 citations into it

Whom Aravind Jayendran trusts overall

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

1. Geoffrey E. Hinton
2. Jost Tobias Springenberg
3. Yoshua Bengio
4. Diederik P. Kingma
5. Luke Metz
6. Alex Krizhevsky
7. Jeff Donahue
8. Alec Radford
9. Yann LeCun
10. Ilya Sutskever

Papers from Aravind Jayendran's perspective

Ordered by how strongly the researchers Aravind Jayendran 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. GENERATIVE ADVERSARIAL NETS
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet: A large-scale hierarchical image database
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Mode matching in GANs through latent space learning and inversion (2018)