Anuj Pareek

Artificial Intelligence · 2020–2023

A researcher in the Science corpus: 4 papers; trusts 82 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Anuj Pareek trusts overall

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

  1. Kaiming He
  2. Jeff Donahue
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Ross B. Girshick
  6. Karen Simonyan
  7. Yoshua Bengio
  8. Diederik P. Kingma
  9. Yann LeCun
  10. Ilya Sutskever

Who trusts Anuj Pareek overall

  1. Pranav Rajpurkar

Papers from Anuj Pareek's perspective

Ordered by how strongly the researchers Anuj Pareek 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers