S. Borah

2007

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom S. Borah trusts overall

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

  1. David E. Rumelhart
  2. Geoffrey E. Hinton
  3. Ronald J. Williams
  4. Tadhg Brosnan

Papers from S. Borah's perspective

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

  1. Learning representations by back-propagating errors
  2. Inspection and grading of agricultural and food products by computer vision systems—a review
  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. Learning Multiple Layers of Features from Tiny Images
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers