Mads Nielsen

Computer Vision and Pattern Recognition · with Igel · 2013–2016

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 21 citations into it; #20,242 of 21,575 by trust here, #7,852 by citations

Whom Mads Nielsen trusts overall

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

1. Geoffrey E. Hinton
2. Yann LeCun
3. Marc'Aurelio Ranzato
4. Yoshua Bengio

Who trusts Mads Nielsen overall

1. Mohammad Mustafa Taye

Papers from Mads Nielsen's perspective

Ordered by how strongly the researchers Mads Nielsen trusts endorse each paper. Same corpus, a different order for every researcher.

1. Gradient-based learning applied to document recognition
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. ImageNet Large Scale Visual Recognition Challenge
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Deep Feature Learning for Knee Cartilage Segmentation Using a Triplanar Convolutional Neural Network (2013) — 604 citations
• Unsupervised Deep Learning Applied to Breast Density Segmentation and Mammographic Risk Scoring (2016) — 390 citations