Swati Gupta

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 22 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 23 citations into it
• Optimization & Training — 16 citations into it
• Safety, Robustness & Interpretability — 11 citations into it
• Computational Mechanics — 10 citations into it
• Safety Research — 8 citations into it
• Numerical Analysis — 7 citations into it
• AI Ethics, Fairness & Society — 6 citations into it
• Management Science and Operations Research — 5 citations into it

Whom Swati Gupta trusts overall

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

1. Tor Lattimore
2. Matthew Joseph
3. Michael Kearns
4. Amir Beck
5. Alexandra Chouldechova
6. Moritz Hardt
7. Csaba Szepesvari
8. Latanya Sweeney
9. Cynthia Dwork
10. Cyrille W. Combettes

Papers from Swati Gupta's perspective

Ordered by how strongly the researchers Swati Gupta 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. Gradient-based learning applied to document recognition
4. Fairness through awareness
5. Equality of Opportunity in Supervised Learning
6. Learning Multiple Layers of Features from Tiny Images
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. ImageNet: A large-scale hierarchical image database
9. Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments
10. Discrimination-aware data mining

Their papers

• Walking in the Shadow: A New Perspective on Descent Directions for Constrained Minimization (2020) — 8 citations
• Individual Fairness in Hindsight (2018) — 68 citations