Errol Colak

Artificial Intelligence · 2017–2021

A researcher in the Science corpus: 3 papers; trusts 59 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Errol Colak trusts overall

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

  1. Alex Graves
  2. Yoshua Bengio
  3. Geoffrey E. Hinton
  4. Ilya Sutskever
  5. Tomas Mikolov
  6. Diederik P. Kingma
  7. J. Urgen Schmidhuber
  8. Yann LeCun
  9. James Martens
  10. Radford M. Neal

Papers from Errol Colak's perspective

Ordered by how strongly the researchers Errol Colak 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. 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers