D. Skillicom

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom D. Skillicom trusts overall

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

  1. David E. Rumelhart
  2. Jia Wu
  3. Geoffrey E. Hinton
  4. Huaiyu Zhu
  5. Xavier Glorot
  6. Yoshua Bengio
  7. Andy Liaw
  8. Alok Sharma

Papers from D. Skillicom's perspective

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

  1. GENERATIVE ADVERSARIAL NETS
  2. ImageNet classification with deep convolutional neural networks
  3. This PDF file includes: Materials and Methods
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Understanding the difficulty of training deep feedforward neural networks
  9. Long Short-Term Memory
  10. Learning Multiple Layers of Features from Tiny Images

Their papers