Jason Franklin

Artificial Intelligence · 2006–2007

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jason Franklin trusts overall

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

  1. Eric R. Ziegel
  2. Tadayoshi Kohno
  3. Bernhard Schölkopf
  4. Jean-François Raymond
  5. Andre Broido
  6. C. Burges
  7. John R. Douceur
  8. Ross J. Anderson
  9. Dakshi Agrawal
  10. Nick Mathewson

Who trusts Jason Franklin overall

  1. Suman Sekhar Jana
  2. Kunal Sankhe
  3. Shamnaz Riyaz
  4. Vladimir Brik
  5. Sanorita Dey
  6. Nino Vincenzo Verde
  7. Markus Miettinen
  8. Sneha Kumar Kasera
  9. Stratis Ioannidis
  10. Suman Banerjee

Papers from Jason Franklin's perspective

Ordered by how strongly the researchers Jason Franklin 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. Learning Multiple Layers of Features from Tiny Images
  4. The Elements of Statistical Learning
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  8. Long Short-Term Memory
  9. Advances in kernel methods: support vector learning
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers