M. Perich

Cognitive Neuroscience · 2015–2020

A researcher in the Science corpus: 5 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom M. Perich trusts overall

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

  1. Stephen H. Scott
  2. John P. Cunningham
  3. James Bergstra
  4. Diederik P. Kingma
  5. Yoshua Bengio
  6. Geoffrey E. Hinton
  7. Chih-Jen Lin
  8. Alex Krizhevsky
  9. Radford M. Neal
  10. Alex Smola

Who trusts M. Perich overall

  1. Mikail Khona
  2. Gopala Krishna Anumanchipalli

Papers from M. Perich's perspective

Ordered by how strongly the researchers M. Perich trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Long Short-Term Memory
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Learning Multiple Layers of Features from Tiny Images
  8. Dropout: a simple way to prevent neural networks from overfitting
  9. ImageNet: A large-scale hierarchical image database
  10. Going deeper with convolutions

Their papers