Marc Pickett

Artificial Intelligence · 2002–2022

A researcher in the Science corpus: 5 papers; trusts 23 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Marc Pickett trusts overall

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

  1. Richard S. Sutton
  2. J. Urgen Schmidhuber
  3. Doina Precup
  4. Andrew Barto
  5. Geoffrey E. Hinton
  6. Yoshua Bengio
  7. Pentti Kanerva
  8. Amy McGovern
  9. L. Eon Bottou
  10. Alex Krizhevsky

Who trusts Marc Pickett overall

  1. George Dimitri Konidaris
  2. Andrew Barto
  3. Marlos C. Machado
  4. Emma Brunskill
  5. Karl Pertsch
  6. Nicholay Topin
  7. Lihong Li
  8. H. Brendan McMahan
  9. Michael H. Bowling
  10. Özgür Simsek

Papers from Marc Pickett's perspective

Ordered by how strongly the researchers Marc Pickett 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers