Mehran Javanmardi

Computer Vision and Pattern Recognition · 2016–2019

A researcher in the Science corpus: 3 papers; trusts 161 researchers and is trusted by 367 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 44 citations into it; #2,155 of 21,575 by trust here, #3,810 by citations
• Artificial Intelligence — 28 citations into it; #3,104 of 35,345 by trust here, #6,378 by citations
• Representation & Self-Supervised Learning — 20 citations into it; #490 of 3,145 by trust here, #866 by citations
• Economics and Econometrics — 13 citations into it
• Model Architectures — 12 citations into it
• General Health Professions — 5 citations into it

Whom Mehran Javanmardi trusts overall

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

1. Yann LeCun
2. Alex Krizhevsky
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Ilya Sutskever
6. Koray Kavukcuoglu
7. Benjamin Graham
8. Christian Szegedy
9. L. Eon Bottou
10. Diederik P. Kingma

Who trusts Mehran Javanmardi overall

1. Kihyuk Sohn
2. Ekin Dogus Cubuk
3. Samuli Laine
4. David Berthelot
5. Avital Oliver
6. Zizhao Zhang
7. Lu Liu
8. Geoff French
9. Lihe Yang
10. Nicholas Carlini

Papers from Mehran Javanmardi's perspective

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

Their papers

• Regularization With Stochastic Transformations and Perturbations for Deep Semi-Supervised Learning (2016) — 1,270 citations
• Mutual exclusivity loss for semi-supervised deep learning (2016) — 83 citations
• Segmentation (2019) — 1,339 citations