Oliver Parson

Electrical and Electronic Engineering · 2012–2014

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

Subfields

Whom Oliver Parson trusts overall

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

  1. J. Kolter
  2. Michael Zeifman
  3. Radford M. Neal
  4. Tommi S. Jaakkola
  5. Kurt Roth
  6. Andrew Y. Ng
  7. Manish Marwah
  8. Siddharth Batra
  9. Geoffrey E. Hinton
  10. Zoubin Ghahramani

Who trusts Oliver Parson overall

  1. Christian Beckel
  2. Jack Kelly
  3. Nipun Batra
  4. Wilhelm Kleiminger

Papers from Oliver Parson's perspective

Ordered by how strongly the researchers Oliver Parson 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. Attention is All you Need (Neural Information Processing Systems)
  6. ImageNet: A large-scale hierarchical image database
  7. Learning Multiple Layers of Features from Tiny Images
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers