Pierre Yves Andrews

Artificial Intelligence · 2017–2023

A researcher in the Science corpus: 3 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Pierre Yves Andrews trusts overall

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

  1. Josua Krause
  2. Yoon Kim
  3. Adam W. Harley
  4. Geoffrey E. Hinton
  5. L. V. D. van der Maaten
  6. Xin Li
  7. Fan-Yin Tzeng
  8. Saleema Amershi
  9. Todd Kulesza
  10. Adam Perer

Who trusts Pierre Yves Andrews overall

  1. Sina Mohseni
  2. D. V. Carvalho
  3. Fred Hohman
  4. Joel Vaughan

Papers from Pierre Yves Andrews's perspective

Ordered by how strongly the researchers Pierre Yves Andrews 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. Learning Multiple Layers of Features from Tiny Images
  8. ImageNet: A large-scale hierarchical image database
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Caffe: Convolutional Architecture for Fast Feature Embedding

Their papers