S. Sivakumari

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom S. Sivakumari trusts overall

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

  1. Christopher K. I. Williams
  2. Anil K. Jain
  3. S. Kotsiantis
  4. Individualized Treat

Papers from S. Sivakumari's perspective

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

  1. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  2. GENERATIVE ADVERSARIAL NETS
  3. Asynchronous Methods for Deep Reinforcement Learning
  4. ImageNet classification with deep convolutional neural networks
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Why Does Unsupervised Pre-training Help Deep Learning?
  7. Long Short-Term Memory
  8. Gradient-based learning applied to document recognition
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers