Stephen Bates

Artificial Intelligence · International Conference on Learning Representations · 2020–2023

A researcher in the Science corpus: 6 papers; trusts 103 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Stephen Bates trusts overall

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

  1. Vladimir G Vovk
  2. Jing Lei
  3. A. Gammerman
  4. E.J. Candes
  5. Bradley Efron
  6. Robert Tibshirani
  7. M. Stone
  8. Jia Deng
  9. Thomas G. Dietterich
  10. Colin L. Mallows

Who trusts Stephen Bates overall

  1. Tal Schuster
  2. Adam Fisch
  3. Anastasios Nikolas Angelopoulos
  4. Jingkang Yang

Papers from Stephen Bates's perspective

Ordered by how strongly the researchers Stephen Bates 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. ImageNet: A large-scale hierarchical image database
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers