Sukriti Verma
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
- Artificial Intelligence — 17 citations into it; #33,213 of 35,345 by trust here, #32,362 by citations
Whom Sukriti Verma trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Sukriti Verma overall
Papers from Sukriti Verma's perspective
Ordered by how strongly the researchers Sukriti Verma trusts endorse each paper. Same corpus, a different order for every researcher.
- Et al
- Association for Computational Linguistics " Why Should I Trust You? " Explaining the Predictions of Any Classifier
- Not Just a Black Box: Learning Important Features Through Propagating Activation Differences
- Interpretable classifiers using rules and Bayesian analysis: Building a better stroke prediction model
- Interpretable Decision Sets: A Joint Framework for Description and Prediction
- Interpretable & Explorable Approximations of Black Box Models
- An unexpected unity among methods for interpreting model predictions
- Transparent Model Distillation
- Fast Discovery of Association Rules
- Interpreting Blackbox Models via Model Extraction
Their papers
- MAGIX: Model Agnostic Globally Interpretable Explanations (2017) — 44 citations