J. Nicholas Hobbs

Cognitive Neuroscience · 2015

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom J. Nicholas Hobbs trusts overall

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

  1. Geoffrey E. Hinton
  2. Maximilian Riesenhuber
  3. Tomaso A. Poggio
  4. Martin A. Giese
  5. Honglak Lee

Who trusts J. Nicholas Hobbs overall

  1. German Ignacio Parisi

Papers from J. Nicholas Hobbs's perspective

Ordered by how strongly the researchers J. Nicholas Hobbs 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. Gradient-based learning applied to document recognition
  4. Long Short-Term Memory
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Learning Multiple Layers of Features from Tiny Images
  8. Hierarchical models of object recognition in cortex
  9. Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations
  10. ImageNet: A large-scale hierarchical image database

Their papers