Martin N. Hebart

Cognitive Neuroscience · 2015–2019

A researcher in the Science corpus: 3 papers; trusts 33 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Martin N. Hebart trusts overall

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

  1. John-Dylan Haynes
  2. Chih-Jen Lin
  3. Nikolaus Kriegeskorte
  4. Thomas Naselaris
  5. James V. Haxby
  6. Kendrick Norris Kay
  7. Jörn Diedrichsen
  8. Yukiyasu Kamitani
  9. Shinji Nishimoto
  10. Karl J. Friston

Who trusts Martin N. Hebart overall

  1. Nikolaas N. Oosterhof
  2. Andrew C. Connolly
  3. Lewei Yao
  4. Michael C. Freund

Papers from Martin N. Hebart's perspective

Ordered by how strongly the researchers Martin N. Hebart 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. ImageNet: A large-scale hierarchical image database
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers