Tanya Piplani

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 74 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Tanya Piplani trusts overall

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

  1. Kaiming He
  2. Tsung-Yi Lin
  3. X. Zhang
  4. Geoffrey E. Hinton
  5. Ryan Kiros
  6. Yoshua Bengio
  7. Alex Krizhevsky
  8. Shaoqing Ren
  9. Ruslan Salakhutdinov
  10. Andrew Zisserman

Papers from Tanya Piplani's perspective

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

Their papers