Yasmin Schmitt

Artificial Intelligence · 2022

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

Subfields

Whom Yasmin Schmitt trusts

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

  1. Jerome H. Friedman (in Artificial Intelligence)

Papers from Yasmin Schmitt's perspective

Ordered by how strongly the researchers Yasmin Schmitt 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. Visualizing Data using t-SNE
  3. ImageNet classification with deep convolutional neural networks
  4. Association for Computational Linguistics " Why Should I Trust You? " Explaining the Predictions of Any Classifier
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Long Short-Term Memory
  9. ImageNet: A large-scale hierarchical image database
  10. Learning Multiple Layers of Features from Tiny Images

Their papers