Ritika Singh

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Ritika Singh trusts overall

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

  1. L. Takeuchi
  2. Geoffrey E. Hinton
  3. Yung-Keun Kwon
  4. Jigar Patel
  5. Abdel-rahman Mohamed
  6. Takashi Kuremoto
  7. Yoshua Bengio
  8. Ilya Sutskever
  9. Matthew D. Zeiler
  10. B. Moon

Who trusts Ritika Singh overall

  1. Weiwei Jiang
  2. Omer Berat Sezer
  3. Ze Hu
  4. Guosheng Hu
  5. M. Ugur Gudelek
  6. Yiqi Zhao
  7. A. Ozbayoglu
  8. Matloob Khushi

Papers from Ritika Singh's perspective

Ordered by how strongly the researchers Ritika 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. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Learning Multiple Layers of Features from Tiny Images
  8. ImageNet: A large-scale hierarchical image database
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers