Ankita Lamba

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ankita Lamba trusts

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

  1. Andrea Vedaldi (in Computer Vision and Pattern Recognition)
  2. Rob Fergus (in Computer Vision and Pattern Recognition)
  3. Thomas Brox (in Computer Vision and Pattern Recognition)
  4. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  5. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  6. Karen Simonyan (in Computer Vision and Pattern Recognition)
  7. Alexey Dosovitskiy (in Computer Vision and Pattern Recognition)
  8. Geoffrey E. Hinton (in Computer Vision and Pattern Recognition)
  9. Matthew D. Zeiler (in Computer Vision and Pattern Recognition)
  10. Ilya Sutskever (in Computer Vision and Pattern Recognition)

Papers from Ankita Lamba's perspective

Ordered by how strongly the researchers Ankita Lamba 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. Gradient-based learning applied to document recognition
  4. Visualizing and Understanding Convolutional Networks
  5. Densely Connected Convolutional Networks
  6. Understanding the difficulty of training deep feedforward neural networks
  7. Learning Multiple Layers of Features from Tiny Images
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Attention is All you Need (Neural Information Processing Systems)
  10. ImageNet: A large-scale hierarchical image database

Their papers