Isabeau Prémont-Schwarz

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 16 citations into it; #20,529 of 21,575 by trust here, #17,757 by citations
• Artificial Intelligence — 14 citations into it
• Representation & Self-Supervised Learning — 6 citations into it

Whom Isabeau Prémont-Schwarz trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Radford M. Neal
5. Antti Tarvainen
6. J. Urgen Schmidhuber
7. Ian J. Goodfellow
8. Harri Valpola
9. Sepp Hochreiter
10. Klaus Greff

Who trusts Isabeau Prémont-Schwarz overall

1. Aleksandar Stani'c
2. Klaus Greff
3. Jinyang Yuan
4. J. Urgen Schmidhuber
5. Sjoerd van Steenkiste
6. Daniel Hsu
7. Bin Li

Papers from Isabeau Prémont-Schwarz's perspective

Ordered by how strongly the researchers Isabeau Prémont-Schwarz 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Recurrent Ladder Networks (2017) — 41 citations