Yanis Bahroun

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 2 papers; trusts 42 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 15 citations into it; #15,460 of 21,575 by trust here, #21,103 by citations
• Representation & Self-Supervised Learning — 10 citations into it

Whom Yanis Bahroun trusts overall

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

1. Alex Krizhevsky
2. Erkki Oja
3. Terence D. Sanger
4. Barbara Olshausen
5. Adam Coates
6. Christian Szegedy
7. Geoffrey E. Hinton
8. Corinna Cortes
9. Ariadna Quattoni
10. Megha Pandey

Who trusts Yanis Bahroun overall

1. Andrea Soltoggio
2. Kenneth O. Stanley
3. Sebastian Risi

Papers from Yanis Bahroun's perspective

Ordered by how strongly the researchers Yanis Bahroun 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. Learning Multiple Layers of Features from Tiny Images
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Going deeper with convolutions
7. ImageNet: A large-scale hierarchical image database
8. Long Short-Term Memory
9. Attention is All you Need (Neural Information Processing Systems)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Building Efficient Deep Hebbian Networks for Image Classification Tasks (2017) — 11 citations
• Online Representation Learning with Multi-layer Hebbian Networks for Image Classification Tasks (2017) — 3 citations