Lauren J. O'Donnell

Artificial Intelligence · with Zhang · 2020

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Lauren J. O'Donnell trusts overall

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

  1. Chih-Jen Lin

Who trusts Lauren J. O'Donnell overall

  1. Orlando P. Zacarias
  2. Subham S. Sahoo
  3. Arash Karimipour
  4. Anurag Malik
  5. Hoang Nguyen
  6. Henrik Bostrom

Papers from Lauren J. O'Donnell's perspective

Ordered by how strongly the researchers Lauren J. O'Donnell trusts endorse each paper. Same corpus, a different order for every researcher.

  1. A training algorithm for optimal margin classifiers
  2. ImageNet classification with deep convolutional neural networks
  3. Support-Vector Networks
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Statistical learning theory
  6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  7. Gradient-based learning applied to document recognition
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. The Nature of Statistical Learning Theory

Their papers