Ben Goertzel

Artificial Intelligence · 2009

A researcher in the Science corpus: 1 paper; trusts 34 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Ben Goertzel trusts overall

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

  1. Shane Legg
  2. J. Urgen Schmidhuber
  3. Marcus Hutter
  4. Bill Hibbard
  5. Eliezer Yudkowsky
  6. Joscha Bach
  7. Yoshua Bengio
  8. Ray J. Solomonoff
  9. Geoffrey E. Hinton
  10. Richard S. Sutton

Who trusts Ben Goertzel overall

  1. Seth D. Baum
  2. Richard Ngo
  3. Pei Wang
  4. Scott Thiebes
  5. Katikapalli Subramanyam Kalyan
  6. Viriya Taecharungroj
  7. Arnaud De Bruyn
  8. Chengwei Qin

Papers from Ben Goertzel's perspective

Ordered by how strongly the researchers Ben Goertzel 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. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers