Sarah Ellen Michalak

Artificial Intelligence · 2011–2019

A researcher in the Science corpus: 2 papers; trusts 24 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Sarah Ellen Michalak trusts overall

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

  1. Alex Krizhevsky
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Christian Szegedy
  5. Ross B. Girshick
  6. Yoshua Bengio

Papers from Sarah Ellen Michalak's perspective

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

Their papers