Richard Benjamins

Artificial Intelligence · 2019–2021

A researcher in the Science corpus: 3 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Richard Benjamins trusts

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

  1. Rob Fergus (in Computer Vision and Pattern Recognition)
  2. R. Caruana (in Artificial Intelligence)
  3. Matthew D. Zeiler (in Computer Vision and Pattern Recognition)
  4. Cynthia Rudin (in Artificial Intelligence)
  5. Li Fei-Fei (in Computer Vision and Pattern Recognition)
  6. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  7. Andrew Zisserman (in Computer Vision and Pattern Recognition)

Papers from Richard Benjamins's perspective

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

  1. Visualizing and Understanding Convolutional Networks
  2. Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Gradient-based learning applied to document recognition
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. Association for Computational Linguistics " Why Should I Trust You? " Explaining the Predictions of Any Classifier
  9. Model compression
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers