Vivek K. Singh

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Vivek K. Singh trusts overall

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

  1. Nitesh V. Chawla
  2. Karthik Dinakar
  3. Leo Breiman
  4. Sameer Hinduja
  5. Kelly Reynolds
  6. Ying Chen
  7. Homa Hosseinmardi
  8. Henry Lieberman
  9. Justin W. Patchin
  10. Robert S. Tokunaga

Who trusts Vivek K. Singh overall

  1. Rui Cao
  2. Roy Ka-Wei Lee

Papers from Vivek K. Singh's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Gradient-based learning applied to document recognition
  4. Bagging Predictors
  5. SMOTE: Synthetic Minority Over-sampling Technique
  6. ImageNet classification with deep convolutional neural networks
  7. Learning Multiple Layers of Features from Tiny Images
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Going deeper with convolutions

Their papers