Yang Wang

Computer Vision and Pattern Recognition · with Ebert · 2018

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

Subfields

Whom Yang Wang trusts overall

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

  1. Tamara Munzner
  2. Josua Krause
  3. Jeffrey Pennington
  4. Chris Stolte

Who trusts Yang Wang overall

  1. Giulia Vilone
  2. Yongsu Ahn
  3. Oscar Gomez

Papers from Yang Wang's perspective

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

  1. Et al
  2. GloVe: Global Vectors for Word Representation
  3. Scikit-learn: Machine Learning in Python
  4. Association for Computational Linguistics " Why Should I Trust You? " Explaining the Predictions of Any Classifier
  5. Principles of Explanatory Debugging to Personalize Interactive Machine Learning
  6. ModelTracker: Redesigning Performance Analysis Tools for Machine Learning
  7. EnsembleMatrix: interactive visualization to support machine learning with multiple classifiers
  8. Interacting with Predictions: Visual Inspection of Black-box Machine Learning Models
  9. Power to the People: The Role of Humans in Interactive Machine Learning (The AI Magazine)
  10. Understanding Neural Networks Through Deep Visualization

Their papers