Julia E. Powles

Health technology · 2017

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Whom Julia E. Powles trusts overall

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

  1. Michael I. Jordan
  2. Tom Michael Mitchell

Who trusts Julia E. Powles overall

  1. Sandeep Reddy
  2. Rohan Gupta
  3. Blake Murdoch
  4. Sonia Allan
  5. Devesh Srivastava
  6. Simon Coghlan

Papers from Julia E. Powles's perspective

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

Their papers