Olivier Fortineau

Artificial Intelligence · 2019

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

Subfields

• Artificial Intelligence — 20 citations into it
• Safety, Robustness & Interpretability — 17 citations into it

Whom Olivier Fortineau trusts overall

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

1. Zachary Chase Lipton

Papers from Olivier Fortineau's perspective

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

1. The mythos of model interpretability
2. Equality of Opportunity in Supervised Learning
3. Association for Computational Linguistics " Why Should I Trust You? " Explaining the Predictions of Any Classifier
4. Fairness through awareness
5. Big Data's Disparate Impact
6. Towards A Rigorous Science of Interpretable Machine Learning
7. ImageNet classification with deep convolutional neural networks
8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. A Unified Approach to Interpreting Model Predictions

Their papers

• Fairwashing: the risk of rationalization (2019) — 184 citations