Samuel Vinitsky

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 11 citations into it
• Safety, Robustness & Interpretability — 11 citations into it
• Safety Research — 7 citations into it

Whom Samuel Vinitsky trusts overall

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

1. Cynthia Dwork
2. Moritz Hardt
3. Nicholas I. Fisher
4. Richard S. Zemel
5. Michael Feldman
6. Matei A. Zaharia
7. Adam Paszke
8. Toon Calders
9. Pranab Kumar Sen

Papers from Samuel Vinitsky's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Fairness through awareness
3. Automatic differentiation in PyTorch
4. Equality of Opportunity in Supervised Learning
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. ImageNet: A large-scale hierarchical image database
7. Learning Multiple Layers of Features from Tiny Images
8. Certifying and Removing Disparate Impact
9. Gradient-based learning applied to document recognition
10. Learning Fair Representations

Their papers

• Fairness-Aware Programming (2019) — 56 citations