Pascal Libuschewski

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 23 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 13 citations into it
• Model Architectures — 10 citations into it
• Artificial Intelligence — 8 citations into it; #19,214 of 35,345 by trust here, #25,809 by citations

Whom Pascal Libuschewski trusts overall

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

1. Geoffrey E. Hinton
2. Taco Cohen
3. Yann LeCun
4. Alex Krizhevsky
5. Yoshua Bengio
6. Sara Sabour
7. Hugo Larochelle
8. Max Welling
9. L. Eon Bottou
10. Diederik P. Kingma

Who trusts Pascal Libuschewski overall

1. David W. Romero
2. Guo-Jun Qi
3. Erik J. Bekkers

Papers from Pascal Libuschewski's perspective

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

1. Gradient-based learning applied to document recognition
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. ImageNet: A large-scale hierarchical image database
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Group Equivariant Capsule Networks (2018) — 119 citations