Benjamin Scellier

Cognitive Neuroscience · 2016–2019

A researcher in the Science corpus: 3 papers; trusts 32 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Benjamin Scellier trusts overall

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

  1. Geoffrey E. Hinton
  2. Tijmen Tieleman
  3. Yoshua Bengio
  4. Xavier Glorot
  5. Fernando J. Pineda
  6. Yann LeCun
  7. Xiaohui Xie
  8. Randall C. O’Reilly
  9. John J. Hopfield
  10. Ruslan Salakhutdinov

Who trusts Benjamin Scellier overall

  1. Dmitry Krotov
  2. Jordan Guerguiev
  3. Adam Henry Marblestone
  4. Timothy P. Lillicrap
  5. João Sacramento
  6. Geoffrey E. Hinton
  7. James C. R. Whittington
  8. Yoshua Bengio
  9. John J. Hopfield
  10. Josh Tenenbaum

Papers from Benjamin Scellier's perspective

Ordered by how strongly the researchers Benjamin Scellier 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. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  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