Niloofar Yousefi

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 22 citations into it
• Representation & Self-Supervised Learning — 14 citations into it
• Computational Mechanics — 11 citations into it
• Statistical Learning Theory — 11 citations into it
• Statistics and Probability — 9 citations into it

Whom Niloofar Yousefi trusts overall

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

1. Olivier Bousquet
2. Andreas Maurer
3. Peter L. Bartlett
4. Andreas Argyriou
5. Jonathan Baxter
6. Massimiliano Pontil
7. Shahar Mendelson
8. Corinna Cortes
9. Vladimir Koltchinskii
10. Theodoros Evgeniou

Papers from Niloofar Yousefi's perspective

Ordered by how strongly the researchers Niloofar Yousefi 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. 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• Local Rademacher Complexity-based Learning Guarantees for Multi-Task Learning (2016) — 33 citations