Frederick Klauschen

Computer Vision and Pattern Recognition · with Bach · 2015

A researcher in the Science corpus: 1 paper; trusts 26 researchers and is trusted by 46 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 36 citations into it; #4,082 of 21,575 by trust here, #2,064 by citations

Whom Frederick Klauschen trusts overall

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

1. Yann LeCun
2. Geoffrey E. Hinton
3. Karen Simonyan
4. Andrew Zisserman
5. Alex Krizhevsky
6. Andrea Vedaldi
7. Jianguo Zhang
8. Florent Perronnin
9. David G. Lowe

Who trusts Frederick Klauschen overall

1. Wojciech Samek
2. Grgoire Montavon
3. K. Müller
4. Alexander Binder
5. Marco Ancona
6. Sebastian Lapuschkin
7. Christopher J. Anders
8. Laura Rieger
9. Scott M. Lundberg
10. Amit Dhurandhar

Papers from Frederick Klauschen's perspective

Ordered by how strongly the researchers Frederick Klauschen 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. ImageNet: A large-scale hierarchical image database
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet Large Scale Visual Recognition Challenge
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation (2015) — 4,977 citations