Michaela Hardt

Artificial Intelligence · 2012–2018

A researcher in the Science corpus: 3 papers; trusts 3 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Michaela Hardt trusts overall

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

  1. Nancy R. Cook
  2. Cynthia Dwork
  3. Andrew Beam
  4. Alex Smola
  5. Geoffrey E. Hinton

Who trusts Michaela Hardt overall

  1. Fabienne Eigner

Papers from Michaela Hardt's perspective

Ordered by how strongly the researchers Michaela Hardt trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Long Short-Term Memory
  2. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  3. Deep Learning
  4. ImageNet classification with deep convolutional neural networks
  5. Representation Learning: A Review and New Perspectives
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Scikit-learn: Machine Learning in Python
  8. Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Gradient-based learning applied to document recognition

Their papers