Jessica Clark

Artificial Intelligence · 2015–2016

A researcher in the Science corpus: 2 papers; trusts 44 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jessica Clark trusts overall

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

  1. Pat Langley
  2. Dimitris Achlioptas
  3. Yehuda Koren
  4. Matthew A. Turk
  5. Abdulhamit Subasi
  6. Robert M. Bell
  7. Hui Zou
  8. Trevor J. Hastie
  9. L. V. D. van der Maaten
  10. Foster J. Provost

Who trusts Jessica Clark overall

  1. Yanou Ramon

Papers from Jessica Clark's perspective

Ordered by how strongly the researchers Jessica Clark 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. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Learning Multiple Layers of Features from Tiny Images
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers