Pratiksha Agarwal

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Pratiksha Agarwal trusts overall

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

  1. Himabindu Lakkaraju
  2. Scott M. Lundberg

Who trusts Pratiksha Agarwal overall

  1. Przemyslaw Biecek

Papers from Pratiksha Agarwal's perspective

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

  1. Et al
  2. Association for Computational Linguistics " Why Should I Trust You? " Explaining the Predictions of Any Classifier
  3. Not Just a Black Box: Learning Important Features Through Propagating Activation Differences
  4. Interpretable classifiers using rules and Bayesian analysis: Building a better stroke prediction model
  5. Interpretable Decision Sets: A Joint Framework for Description and Prediction
  6. Interpretable & Explorable Approximations of Black Box Models
  7. An unexpected unity among methods for interpreting model predictions
  8. Transparent Model Distillation
  9. Fast Discovery of Association Rules
  10. Interpreting Blackbox Models via Model Extraction

Their papers