Michael Feldman

Artificial Intelligence · with Friedler · 2014–2015

A researcher in the Science corpus: 2 papers; trusts 18 researchers and is trusted by 47 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 13 citations into it; #5,679 of 35,345 by trust here, #3,523 by citations
• Safety Research — 7 citations into it; #346 of 5,829 by trust here, #150 by citations
• Safety, Robustness & Interpretability — 7 citations into it; #387 of 2,251 by trust here, #258 by citations
• AI Ethics, Fairness & Society — 6 citations into it; #74 of 494 by trust here, #432 by citations
• Information Systems — 5 citations into it

Whom Michael Feldman trusts overall

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

1. Toon Calders
2. Faisal Kamiran
3. Toshihiro Kamishima
4. Richard S. Zemel
5. Shotaro Akaho
6. Sicco Verwer
7. Salvatore Ruggieri
8. Binh Luong Thanh
9. Sorelle A. Friedler
10. Jun Sakuma

Who trusts Michael Feldman overall

1. Silvia Chiappa
2. Muhammad Bilal Zafar
3. Luca Oneto
4. Indrė Žliobaitė
5. Lu Zhang
6. Tian Li
7. Ray Jiang
8. Kush R. Varshney
9. Isabel Valera
10. Alexandre Louis Lamy

Papers from Michael Feldman's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Fairness-Aware Classifier with Prejudice Remover Regularizer
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Fairness-aware Learning through Regularization Approach
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Fairness through awareness
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. ImageNet: A large-scale hierarchical image database
10. Long Short-Term Memory

Their papers

• Certifying and Removing Disparate Impact (2014) — 2,286 citations
• Computational Fairness: Preventing Machine-Learned Discrimination (2015) — 37 citations