Kurt Thomas

Artificial Intelligence · 2010–2023

A researcher in the Science corpus: 9 papers; trusts 9 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Kurt Thomas trusts overall

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

  1. Chris Grier
  2. Gabriel Magno
  3. George Danezis
  4. Haifeng Yu
  5. Kyumin Lee
  6. G. Wang
  7. Gianluca Stringhini
  8. Tiago Rodrigues
  9. Vern Paxson
  10. Prateek Mittal

Who trusts Kurt Thomas overall

  1. Gang Wang
  2. Octavian Suciu
  3. Binghui Wang
  4. Liang Wu
  5. Zhi Yang
  6. Alexandra Olteanu
  7. Saptarshi Ghosh
  8. Peng Gao
  9. Yabing Liu
  10. Carlos Castillo

Papers from Kurt Thomas's perspective

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

  1. Learning Multiple Layers of Features from Tiny Images
  2. ImageNet: A large-scale hierarchical image database
  3. Et al
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. ImageNet classification with deep convolutional neural networks
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Gradient-based learning applied to document recognition
  9. Long Short-Term Memory
  10. Language Models are Few-Shot Learners (Neural Information Processing Systems)

Their papers