Ranjitha Kumar

Artificial Intelligence · 2017–2022

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ranjitha Kumar trusts overall

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

  1. Geoffrey E. Hinton
  2. Kaiming He
  3. Yoshua Bengio

Papers from Ranjitha Kumar's perspective

Ordered by how strongly the researchers Ranjitha Kumar 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. Attention is All you Need (Neural Information Processing Systems)
  3. Long Short-Term Memory
  4. ImageNet classification with deep convolutional neural networks
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. Rectified Linear Units Improve Restricted Boltzmann Machines
  8. ImageNet: A large-scale hierarchical image database
  9. GloVe: Global Vectors for Word Representation
  10. Learning Multiple Layers of Features from Tiny Images

Their papers