Kevin Ellis

Artificial Intelligence · 2014–2021

A researcher in the Science corpus: 10 papers; trusts 247 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Kevin Ellis trusts overall

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

  1. Sumit Gulwani
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. J. Urgen Schmidhuber
  5. Radford M. Neal
  6. Diederik P. Kingma
  7. Yann LeCun
  8. Alex Graves
  9. Alex Krizhevsky
  10. Ruslan Salakhutdinov

Who trusts Kevin Ellis overall

  1. Andrew Cropper
  2. Augustus Odena
  3. Maxwell Nye
  4. Josh Tenenbaum
  5. Swarat Chaudhuri
  6. Catherine Wong
  7. Sebastijan Dumancic
  8. Armando Solar-Lezama
  9. Robin Manhaeve
  10. Charles Sutton

Papers from Kevin Ellis's perspective

Ordered by how strongly the researchers Kevin Ellis trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers