Michael J. Muller

Artificial Intelligence · 2002–2024

A researcher in the Science corpus: 11 papers; trusts 21 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Michael J. Muller trusts overall

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

  1. Kathy Charmaz
  2. Gillian R. Hayes
  3. Lucy Suchman
  4. T. Loughin
  5. Jeffrey Heer
  6. Vijayshankar Raman
  7. Elizabeth B.-N. Sanders
  8. Sean Kandel
  9. Joseph M Hellerstein
  10. John Millar Carroll

Who trusts Michael J. Muller overall

  1. Min Kyung Lee
  2. Amy X. Zhang
  3. Dakuo Wang
  4. Elizabeth B.-N. Sanders
  5. Lilly C. Irani
  6. Su Lin Blodgett
  7. Gillian R. Hayes
  8. Natalya Shakhovska
  9. Clay Spinuzzi
  10. Alan Borning

Papers from Michael J. Muller's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. Language Models are Unsupervised Multitask Learners
  8. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  9. Gradient-based learning applied to document recognition
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers