Ida Scheel

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ida Scheel trusts overall

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

  1. Leslie N. Smith
  2. Jun Yan
  3. Ilya Loshchilov
  4. Cheng Guo

Papers from Ida Scheel's perspective

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

  1. Automatic differentiation in PyTorch
  2. On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
  3. Decoupled Weight Decay Regularization
  4. Random survival forests
  5. Train longer, generalize better: closing the generalization gap in large batch training of neural networks
  6. Cyclical Learning Rates for Training Neural Networks
  7. ImageNet classification with deep convolutional neural networks
  8. DeepSurv: personalized treatment recommender system using a Cox proportional hazards deep neural network
  9. Entity Embeddings of Categorical Variables
  10. Machine Learning for Predictive Maintenance: A Multiple Classifier Approach (IEEE Transactions on Industrial Informatics)

Their papers