Noble Kennamer

Artificial Intelligence · 2016–2018

A researcher in the Science corpus: 3 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Noble Kennamer trusts overall

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

  1. Alex Krizhevsky
  2. Ross B. Girshick
  3. Ilya Sutskever
  4. Geoffrey E. Hinton
  5. Jeff Donahue
  6. Trevor Darrell
  7. Jitendra Malik

Papers from Noble Kennamer's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers