Nitin Kohli

Safety, Robustness & Interpretability · 2018–2019

A researcher in the Science corpus: 4 papers; trusts 20 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

Whom Nitin Kohli trusts overall

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

  1. Alexandra Chouldechova
  2. Helen Nissenbaum
  3. Andrew D. Selbst
  4. Reuben Binns
  5. Tim Miller
  6. Amanda Levendowski
  7. Moritz Hardt
  8. Solon Barocas
  9. Jon M. Kleinberg
  10. A. Greenwald

Who trusts Nitin Kohli overall

  1. Ben Hutchinson
  2. Inioluwa Deborah Raji
  3. Andrew Smart
  4. Nithya Sambasivan
  5. Margaret Mitchell
  6. A. Hanna
  7. Rebecca N. White
  8. Emily L. Denton

Papers from Nitin Kohli's perspective

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

  1. Equality of Opportunity in Supervised Learning
  2. Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments
  3. Big Data's Disparate Impact
  4. Fairness through awareness
  5. Inherent Trade-Offs in the Fair Determination of Risk Scores
  6. Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification
  7. ImageNet classification with deep convolutional neural networks
  8. False Positives, False Negatives, and False Analyses: A Rejoinder to "Machine Bias: There's Software Used across the Country to Predict Future Criminals. and It's Biased against Blacks"
  9. Counterfactual Fairness (Neural Information Processing Systems)
  10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers