Brianna Satinoff

Artificial Intelligence · 2011–2012

A researcher in the Science corpus: 2 papers; trusts 15 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Brianna Satinoff trusts overall

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

  1. Steven Bird
  2. Pieter Abbeel
  3. J. Langford
  4. Andrew Y. Ng
  5. Edward Loper
  6. T. Griffiths
  7. Umar Syed
  8. David M. Blei
  9. Radford M. Neal
  10. Jordan L. Boyd-Graber

Who trusts Brianna Satinoff overall

  1. Jordan L. Boyd-Graber
  2. Mohit Iyyer
  3. Maharshi Gor
  4. Arjun Mukherjee
  5. Shi Feng

Papers from Brianna Satinoff's perspective

Ordered by how strongly the researchers Brianna Satinoff 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. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers