Jia Liu

Artificial Intelligence · with Boehm · 2020

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jia Liu trusts

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

  1. W. James Murdoch (in Artificial Intelligence)
  2. Bin Yu (in Artificial Intelligence)
  3. Chandan Singh (in Artificial Intelligence)

Papers from Jia Liu's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. Axiomatic Attribution for Deep Networks
  3. Latent Dirichlet Allocation
  4. Association for Computational Linguistics " Why Should I Trust You? " Explaining the Predictions of Any Classifier
  5. On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation
  6. A Unified Approach to Interpreting Model Predictions
  7. Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization
  8. Beyond Word Importance: Contextual Decomposition to Extract Interactions from LSTMs
  9. Towards better understanding of gradient-based attribution methods for Deep Neural Networks
  10. Not Just a Black Box: Learning Important Features Through Propagating Activation Differences

Their papers