James H. Cole

Cognitive Neuroscience · 2016–2021

A researcher in the Science corpus: 3 papers; trusts 9 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom James H. Cole trusts overall

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

  1. Naftali Raz
  2. Katja Franke
  3. Hirotugu Akaike
  4. Ilya Sutskever
  5. Mark Jenkinson
  6. C. Rorden
  7. Gabriel Ziegler
  8. Karen M. Rodrigue
  9. Geoffrey E. Hinton
  10. Ulman E. R. Lindenberger

Who trusts James H. Cole overall

  1. Arvid Lundervold
  2. Han Peng
  3. Walter Hugo Lopez Pinaya
  4. Benedikt A. Jónsson
  5. Mark P. Mattson
  6. Katja Franke
  7. Weikang Gong

Papers from James H. Cole's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. On the importance of initialization and momentum in deep learning
  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