Emmett Witchel

Artificial Intelligence · 2002–2018

A researcher in the Science corpus: 4 papers; trusts 24 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Emmett Witchel trusts overall

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

  1. Cynthia Dwork
  2. Alex Krizhevsky
  3. Frank McSherry

Who trusts Emmett Witchel overall

  1. Martin C. Rinard
  2. Arjun Narayan
  3. Gilles Barthe
  4. Cristian Cadar
  5. Ilya Mironov

Papers from Emmett Witchel's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. ImageNet: A large-scale hierarchical image database
  3. Learning Multiple Layers of Features from Tiny Images
  4. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Large Scale Distributed Deep Networks
  7. Calibrating Noise to Sensitivity in Private Data Analysis
  8. Gradient-based learning applied to document recognition
  9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  10. TensorFlow: A system for large-scale machine learning

Their papers