Alexander L. Gaunt

Artificial Intelligence · 2016–2021

A researcher in the Science corpus: 12 papers; trusts 222 researchers and is trusted by 38 researchers here, as inferred from the citation graph.

Subfields

Whom Alexander L. Gaunt trusts overall

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

  1. Ilya Sutskever
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Alex Graves
  5. Sebastian Thrun
  6. Diederik P. Kingma
  7. Alex Krizhevsky
  8. Sepp Hochreiter
  9. Tomas Mikolov
  10. Yann LeCun

Who trusts Alexander L. Gaunt overall

  1. Kevin Ellis
  2. Marc Brockschmidt
  3. Uri Alon
  4. Michael Chang
  5. Michael O'Neill
  6. Neel Kant
  7. Swarat Chaudhuri
  8. Richard Shin
  9. Daniel Tarlow
  10. Rishabh Singh

Papers from Alexander L. Gaunt's perspective

Ordered by how strongly the researchers Alexander L. Gaunt 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. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers