D. Raje

2011

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom D. Raje trusts overall

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

  1. Vladimir Naumovich Vapni
  2. Lawrence R. Rabiner
  3. Sanjiv Kumar
  4. John D. Lafferty
  5. S. Gangopadhyay
  6. Shivam Tripathi
  7. Andrew McCallum
  8. Martial Hebert
  9. Alex Smola
  10. M. Clark

Papers from D. Raje's perspective

Ordered by how strongly the researchers D. Raje 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. Gradient-based learning applied to document recognition
  4. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. ImageNet: A large-scale hierarchical image database
  10. Going deeper with convolutions

Their papers