John-Melle Bokhorst

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom John-Melle Bokhorst trusts overall

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

  1. Diederik P. Kingma

Papers from John-Melle Bokhorst's perspective

Ordered by how strongly the researchers John-Melle Bokhorst trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  3. GENERATIVE ADVERSARIAL NETS
  4. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
  5. Striving for Simplicity: The All Convolutional Net
  6. ImageNet classification with deep convolutional neural networks
  7. Gradient-based learning applied to document recognition
  8. Best practices for convolutional neural networks applied to visual document analysis
  9. Rectifier Nonlinearities Improve Neural Network Acoustic Models
  10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers