Ravi Nair

Safety Research · 2018–2019

A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ravi Nair trusts overall

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

  1. Solon Barocas

Papers from Ravi Nair's perspective

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

  1. Certifying and Removing Disparate Impact
  2. Datasheets for datasets
  3. Model Cards for Model Reporting
  4. Big Data's Disparate Impact
  5. The Limits of Abstract Evaluation Metrics: The Case of Hate Speech Detection
  6. The Limitations of Deep Learning in Adversarial Settings
  7. Data Statements for NLP: Toward Mitigating System Bias and Enabling Better Science
  8. On the Safety of Machine Learning: Cyber-Physical Systems, Decision Sciences, and Data Products
  9. Machine Learning that Matters
  10. A survey on concept drift adaptation

Their papers