Tai Le Quy

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 41 citations into it; #31,267 of 35,345 by trust here, #34,213 by citations
• Safety, Robustness & Interpretability — 22 citations into it

Whom Tai Le Quy trusts overall

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

1. Faisal Kamiran
2. Joy Buolamwini
3. Toon Calders
4. Indrė Žliobaitė
5. Frances Ding
6. Moritz Hardt
7. Jieyu Zhao
8. Charan Reddy
9. Salvatore Ruggieri
10. Timnit Gebru

Who trusts Tai Le Quy overall

1. Simon Caton
2. Christian Haas

Papers from Tai Le Quy's perspective

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

1. Fairness through awareness
2. Fairness-Aware Classifier with Prejudice Remover Regularizer
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet classification with deep convolutional neural networks
5. Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification
6. Classifying without discriminating
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Attention is All you Need (Neural Information Processing Systems)
9. Gradient-based learning applied to document recognition
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• A survey on datasets for fairness‐aware machine learning (2021) — 354 citations