Rachael V. Phillips

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Rachael V. Phillips trusts overall

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

  1. Albert N. Shiryaev
  2. Charu C. Aggarwal
  3. Ewout W. Steyerberg
  4. Achim Zeileis
  5. Tze Leung Lai
  6. Stephan Rabanser

Papers from Rachael V. Phillips's perspective

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

  1. The Elements of Statistical Learning
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  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. Long Short-Term Memory
  8. Probabilistic Outputs for Support vector Machines and Comparisons to Regularized Likelihood Methods
  9. ImageNet: A large-scale hierarchical image database
  10. Dataset Shift in Machine Learning

Their papers