Lily Rachmawati

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 2 papers; trusts 58 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Lily Rachmawati trusts overall

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

  1. Radford M. Neal
  2. Lawrence R. Rabiner
  3. Teuvo Kohonen
  4. Zdenek Kalal
  5. Geoffrey E. Hinton
  6. B. T. H. Romeny
  7. Anurag Mittal
  8. Yaser Sheikh
  9. Nir Friedman
  10. David Harwood

Papers from Lily Rachmawati's perspective

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

Their papers