Zarana Parekh

Computer Vision and Pattern Recognition · 2020–2022

A researcher in the Science corpus: 4 papers; trusts 217 researchers and is trusted by 57 researchers here, as inferred from the citation graph.

Subfields

Whom Zarana Parekh trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Daniel Matthew Cer
  4. Alex Krizhevsky
  5. Yoshua Bengio
  6. Christian Szegedy
  7. Diederik P. Kingma
  8. Ilya Sutskever
  9. Yann LeCun
  10. Andrej Karpathy

Who trusts Zarana Parekh overall

  1. Jing Yu Koh
  2. Jason Baldridge
  3. Tu Vu
  4. Han Zhang
  5. Stanislav Frolov
  6. Alexander Ku
  7. Jiacheng Chen
  8. Yinfei Yang
  9. Xiao Wang
  10. Aashi Jain

Papers from Zarana Parekh's perspective

Ordered by how strongly the researchers Zarana Parekh 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. ImageNet classification with deep convolutional neural networks
  3. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers