Alexandre de Streel

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 13 citations into it

Whom Alexandre de Streel trusts overall

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

1. Berk Ustun
2. Robert Tibshirani
3. Cynthia Rudin
4. Trevor J. Hastie
5. Karen Simonyan
6. Parag Singla
7. Adrien Bibal

Papers from Alexandre de Streel's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Regression Shrinkage and Selection via the Lasso
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Random Forests
8. Attention is All you Need (Neural Information Processing Systems)
9. Long Short-Term Memory
10. ImageNet: A large-scale hierarchical image database

Their papers

• Legal requirements on explainability in machine learning (2020) — 138 citations