Preethi Jyothi

Artificial Intelligence · 2018–2021

A researcher in the Science corpus: 4 papers; trusts 68 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Preethi Jyothi trusts overall

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

  1. Kaiming He
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. Yann LeCun
  5. Yoshua Bengio
  6. Alex Krizhevsky
  7. Ilya Sutskever
  8. Christian Szegedy
  9. Ian J. Goodfellow
  10. Jimmy Ba

Who trusts Preethi Jyothi overall

  1. Yongxin Yang
  2. Tao A. Xiang
  3. Kaiyang Zhou

Papers from Preethi Jyothi's perspective

Ordered by how strongly the researchers Preethi Jyothi 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. ImageNet classification with deep convolutional neural networks
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers