Emma J. McDonnell

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Emma J. McDonnell trusts overall

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

  1. Hernisa Kacorri

Papers from Emma J. McDonnell's perspective

Ordered by how strongly the researchers Emma J. McDonnell 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  3. Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
  4. How transferable are features in deep neural networks?
  5. Human model evaluation in interactive supervised learning
  6. Audio Set: An ontology and human-labeled dataset for audio events
  7. Principles of Explanatory Debugging to Personalize Interactive Machine Learning
  8. ModelTracker: Redesigning Performance Analysis Tools for Machine Learning
  9. Power to the People: The Role of Humans in Interactive Machine Learning (The AI Magazine)
  10. Teachable machines for accessibility

Their papers