Evelyn Duesterwald

Representation & Self-Supervised Learning · 2000–2020

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Evelyn Duesterwald trusts overall

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

  1. Dong-Hyun Lee
  2. Olivier Chapelle
  3. Jesper E. van Engelen
  4. Meng Fang

Who trusts Evelyn Duesterwald overall

  1. Gogul Balakrishnan
  2. Ashutosh S. Dhodapkar
  3. Jason Hiser
  4. James E. Smith
  5. Chris Lattner

Papers from Evelyn Duesterwald's perspective

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

  1. Pseudo-Label : The Simple and Efficient Semi-Supervised Learning Method for Deep Neural Networks
  2. Active Learning Literature Survey
  3. Learning from labeled and unlabeled data with label propagation
  4. Learning with Local and Global Consistency
  5. Toward Optimal Active Learning through Monte Carlo Estimation of Error Reduction
  6. Selective Sampling Using the Query by Committee Algorithm
  7. Semi-Supervised Classification by Low Density Separation
  8. Universal Sentence Encoder
  9. ImageNet classification with deep convolutional neural networks
  10. Power to the People: The Role of Humans in Interactive Machine Learning (The AI Magazine)

Their papers