Ken Burke

arXiv.org · 2021–2025

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Ken Burke trusts overall

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

  1. Gerlof J. Bouma
  2. Dan Jurafsky
  3. Nikolaos Aletras
  4. Jia Deng

Who trusts Ken Burke overall

  1. Xiaohua Zhai

Papers from Ken Burke's perspective

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

  1. ImageNet: A large-scale hierarchical image database
  2. Microsoft COCO: Common Objects in Context
  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. Attention is All you Need (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  8. Long Short-Term Memory
  9. Learning Multiple Layers of Features from Tiny Images
  10. Equality of Opportunity in Supervised Learning

Their papers