Jörg Schlötterer

Artificial Intelligence · 2022

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 Jörg Schlötterer trusts

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

  1. Jerome H. Friedman (in Artificial Intelligence)

Papers from Jörg Schlötterer's perspective

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

  1. Visualizing Data using t-SNE
  2. Association for Computational Linguistics " Why Should I Trust You? " Explaining the Predictions of Any Classifier
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. ImageNet classification with deep convolutional neural networks
  5. A Unified Approach to Interpreting Model Predictions
  6. Explanation in Artificial Intelligence: Insights from the Social Sciences
  7. Greedy function approximation: A gradient boosting machine.
  8. Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV)
  9. Gradient-based learning applied to document recognition
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers