John K. Feser

Artificial Intelligence · 2015–2016

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

Whom John K. Feser trusts overall

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

  1. Sumit Gulwani
  2. Henry Lieberman
  3. Alex Graves
  4. Marcin Andrychowicz
  5. Ilya Sutskever
  6. Karol Kurach
  7. Lukasz Kaiser
  8. Gerson Zaverucha
  9. Geoffrey E. Hinton
  10. Yoshua Bengio

Who trusts John K. Feser overall

  1. Vijayaraghavan Murali
  2. Swarat Chaudhuri
  3. Alexander L. Gaunt
  4. Navid Yaghmazadeh
  5. Marc Brockschmidt
  6. Augustus Odena
  7. Andrew Cropper
  8. Daniel Tarlow
  9. Yanxin Lu
  10. Charles Sutton

Papers from John K. Feser's perspective

Ordered by how strongly the researchers John K. Feser 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. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers