Ritambhara Singh

Molecular Biology · 2014–2017

A researcher in the Science corpus: 5 papers; trusts 55 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ritambhara Singh trusts overall

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

  1. Geoffrey E. Hinton
  2. L. Eon Bottou
  3. Alex Krizhevsky
  4. Ilya Sutskever
  5. Yoshua Bengio
  6. Diederik P. Kingma
  7. Yann LeCun
  8. Bernhard Schölkopf
  9. Matthew D. Zeiler
  10. Jimmy Ba

Who trusts Ritambhara Singh overall

  1. Ribana Roscher
  2. Shashank Singh
  3. Travers Ching
  4. Alexandr A Kalinin
  5. Bastian Bohn
  6. Yang Yang
  7. Jack Lanchantin

Papers from Ritambhara Singh's perspective

Ordered by how strongly the researchers Ritambhara Singh 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers