Blase Ur

Information Systems · 2012–2016

A researcher in the Science corpus: 4 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Blase Ur trusts overall

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

  1. Matt Weir
  2. Alex Graves
  3. Joseph Bonneau
  4. Cormac Herley
  5. Ilya Sutskever
  6. Helen Nissenbaum
  7. Patrick Gage Kelley
  8. Michael M. Mitzenmacher
  9. Sudhir Aggarwal
  10. Geoffrey E. Hinton

Who trusts Blase Ur overall

  1. Amir Rahmati
  2. Sophie C. Boerman
  3. Earlence Fernandes
  4. Anupam Das
  5. Kirsten E. Martin
  6. Sanne Kruikemeier
  7. Jaeyeon Jung

Papers from Blase Ur's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Gradient-based learning applied to document recognition
  4. Long Short-Term Memory
  5. ImageNet: A large-scale hierarchical image database
  6. Generating Sequences With Recurrent Neural Networks
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers