Phillip Odom

Artificial Intelligence · 2015–2019

A researcher in the Science corpus: 3 papers; trusts 73 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Phillip Odom trusts overall

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

  1. Jerome H. Friedman
  2. Kristian Kersting
  3. Hendrik Blockeel
  4. Nitesh V. Chawla
  5. Pedro M. Domingos
  6. Charles Sutton
  7. Tushar Khot
  8. Vladimir Naumovich Vapnik
  9. Hoifung Poon
  10. Sriraam Natarajan

Who trusts Phillip Odom overall

  1. Kai Han
  2. Stefano Teso

Papers from Phillip Odom's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. ImageNet classification with deep convolutional neural networks
  4. Gradient-based learning applied to document recognition
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers