M. S. Singh

1992–2001

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

Whom M. S. Singh trusts overall

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

  1. Sujit Kumar Ghosh
  2. John F. Canny

Who trusts M. S. Singh overall

  1. Sayan Nag
  2. Francisco P. M. Oliveira
  3. Vaidy Mani
  4. Andreas M. Loening
  5. Martin Reuter
  6. William R. Crum
  7. Rémi Cuingnet
  8. João Manuel Ribeiro da Silva Tavares
  9. Dr.S. rivazhagan
  10. Sanjiv Sam Gambhir

Papers from M. S. Singh's perspective

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

  1. Essential Wavelets for Statistical Applications and Data Analysis (Technometrics)
  2. A Computational Approach to Edge Detection
  3. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  4. Representation Learning with Contrastive Predictive Coding
  5. Learning Multiple Layers of Features from Tiny Images
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. Long Short-Term Memory
  9. Learning deep representations by mutual information estimation and maximization
  10. Gradient-based learning applied to document recognition

Their papers