Margaret Lech

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Margaret Lech trusts overall

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

  1. Paul J. Werbos
  2. Karen Simonyan
  3. Kaiming He
  4. Geoffrey E. Hinton
  5. J. Urgen Schmidhuber
  6. Dimitrios Ververidis
  7. Andrew Zisserman
  8. Alex Krizhevsky
  9. Alex Graves
  10. Yoshua Bengio

Who trusts Margaret Lech overall

  1. T. T. Gomes
  2. Mustaqeem
  3. Leonardo Pepino

Papers from Margaret Lech's perspective

Ordered by how strongly the researchers Margaret Lech 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. Long Short-Term Memory
  3. ImageNet classification with deep convolutional neural networks
  4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  6. Gradient-based learning applied to document recognition
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet: A large-scale hierarchical image database
  10. Learning Multiple Layers of Features from Tiny Images

Their papers