Tim Miller

Artificial Intelligence · 2015–2020

A researcher in the Science corpus: 9 papers; trusts 112 researchers and is trusted by 207 researchers here, as inferred from the citation graph.

Subfields

Whom Tim Miller trusts overall

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

  1. Bertram F. Malle
  2. Denis J. Hilton
  3. Douglas Walton
  4. Tania Lombrozo
  5. John McClure
  6. F. Heider
  7. Alison Cawsey
  8. Joseph Y. Halpern
  9. Ronald Fagin
  10. Daniel C. Dennett

Who trusts Tim Miller overall

  1. Kacper Sokol
  2. Q. Liao
  3. Robert R. Hoffman
  4. Giulia Vilone
  5. Shane T. Mueller
  6. Sarath Sreedharan
  7. Upol Ehsan
  8. Xinru Wang
  9. Daniel S. Weld
  10. Arun Das

Papers from Tim Miller's perspective

Ordered by how strongly the researchers Tim Miller 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. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers