Jesse H. Krijthe

Artificial Intelligence · 2016

A researcher in the Science corpus: 2 papers; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 17 citations into it
• Representation & Self-Supervised Learning — 7 citations into it
• Computational Mechanics — 5 citations into it
• Statistical Learning Theory — 5 citations into it

Whom Jesse H. Krijthe trusts overall

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

1. Thorsten Joachims
2. Marco Loog
3. Eric R. Ziegel
4. Tomaso A. Poggio
5. Peter L. Bartlett
6. Aarti Singh
7. Kamal Nigam
8. Shai Ben-David
9. Michael I. Jordan
10. Steve Smale

Papers from Jesse H. Krijthe's perspective

Ordered by how strongly the researchers Jesse H. Krijthe 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. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Projected estimators for robust semi-supervised classification (2016) — 21 citations
• The Pessimistic Limits and Possibilities of Margin-based Losses in Semi-supervised Learning (2016) — 8 citations