Ben Deen

Cognitive Neuroscience · 2010–2012

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Ben Deen trusts overall

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

  1. D. V. Van Essen
  2. Jianbo Shi
  3. Marina Meila
  4. Andrew Y. Ng
  5. Christopher R. Genovese
  6. Michael D. Greicius
  7. Christian F. Beckmann
  8. Kevin N. Ochsner
  9. Jitendra Malik
  10. Nico U F Dosenbach

Who trusts Ben Deen overall

  1. Jorie Koster-Hale
  2. Anil K. Seth
  3. Xiaosi Gu
  4. Matthew T. Sutherland
  5. Rebecca Saxe
  6. Clare Kelly
  7. Keisuke Suzuki
  8. Patrick R. Hof
  9. Luke J. Chang
  10. Meredith J. McHugh

Papers from Ben Deen's perspective

Ordered by how strongly the researchers Ben Deen 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Going deeper with convolutions
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Learning Multiple Layers of Features from Tiny Images

Their papers