Priya Goyal

Computer Vision and Pattern Recognition · 2017–2022

A researcher in the Science corpus: 9 papers; trusts 1,172 researchers and is trusted by 5,476 researchers here, as inferred from the citation graph.

Subfields

Whom Priya Goyal trusts overall

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

  1. Kaiming He
  2. Ross B. Girshick
  3. Alex Krizhevsky
  4. Geoffrey E. Hinton
  5. Diederik P. Kingma
  6. Yoshua Bengio
  7. Yann LeCun
  8. Ilya Sutskever
  9. Shaoqing Ren
  10. Andrew Zisserman

Who trusts Priya Goyal overall

  1. Kaiming He
  2. Ishan Misra
  3. Xinlei Chen
  4. Christoph Feichtenhofer
  5. Ross B. Girshick
  6. Yoshua Bengio
  7. Quoc V. Le
  8. Abhinav Kumar Gupta
  9. Trevor Darrell
  10. Chunhua Shen

Papers from Priya Goyal's perspective

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

Their papers