E. Vul

Cognitive Neuroscience · 2006–2019

A researcher in the Science corpus: 12 papers; trusts 26 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

Whom E. Vul trusts overall

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

  1. Nir Vulkan
  2. T. Griffiths
  3. Roger Ratcliff
  4. Joshua I. Gold
  5. Scott D. Brown
  6. Stuart Geman
  7. Josh Tenenbaum
  8. Geoffrey E. Hinton
  9. Jessica B. Hamrick
  10. Marc O. Ernst

Who trusts E. Vul overall

  1. Tomer D. Ullman
  2. Josh Tenenbaum
  3. Samuel J. Gershman
  4. Noah D. Goodman
  5. Lotte Meteyard
  6. Peter W. Battaglia
  7. Kevin A. Smith
  8. Tobias Gerstenberg
  9. T. Griffiths
  10. Klaus Greff

Papers from E. Vul's perspective

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

Their papers