Julian Faraone

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 49 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 21 citations into it
• Artificial Intelligence — 20 citations into it
• Efficiency & Compression — 11 citations into it
• Model Architectures — 6 citations into it

Whom Julian Faraone trusts overall

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

1. Yoshua Bengio
2. Kaiming He
3. Alex Krizhevsky
4. Karen Simonyan
5. Geoffrey E. Hinton
6. Sergey Ioffe
7. Ilya Sutskever
8. X. Zhang
9. Matthieu Courbariaux
10. Christian Szegedy

Who trusts Julian Faraone overall

1. Bohan Zhuang
2. Haotong Qin
3. Chunhua Shen

Papers from Julian Faraone's perspective

Ordered by how strongly the researchers Julian Faraone 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. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
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. ImageNet Large Scale Visual Recognition Challenge

Their papers

• SYQ: Learning Symmetric Quantization for Efficient Deep Neural Networks (2018) — 142 citations