Narges Razavian

Artificial Intelligence · with Fernandez‐Granda · 2020

A researcher in the Science corpus: 1 paper; trusts 79 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 34 citations into it
• Computer Vision and Pattern Recognition — 20 citations into it
• Optimization & Training — 16 citations into it
• Safety, Robustness & Interpretability — 8 citations into it
• Representation & Self-Supervised Learning — 6 citations into it

Whom Narges Razavian trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Geoffrey E. Hinton
4. Ross B. Girshick
5. Yoshua Bengio
6. Diederik P. Kingma
7. Yann LeCun
8. Ilya Sutskever
9. Shahar Mendelson
10. X. Zhang

Papers from Narges Razavian's perspective

Ordered by how strongly the researchers Narges Razavian 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. Learning Multiple Layers of Features from Tiny Images
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Early-Learning Regularization Prevents Memorization of Noisy Labels (2020) — 772 citations