Adam Perer

Artificial Intelligence · 2009–2018

A researcher in the Science corpus: 5 papers; trusts 11 researchers and is trusted by 33 researchers here, as inferred from the citation graph.

Subfields

Whom Adam Perer trusts overall

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

  1. Jerome H. Friedman
  2. David Ruppert
  3. Max Kuhn
  4. Geoffrey E. Hinton
  5. R. Caruana
  6. Todd Kulesza
  7. Aleks Jakulin
  8. Catherine Plaisant

Who trusts Adam Perer overall

  1. Minsuk Kahng
  2. Hendrik Strobelt
  3. Wei Zhang
  4. Sebastian Gehrmann
  5. Jesse Vig
  6. Sina Mohseni
  7. Nadia Burkart
  8. Josua Krause
  9. Paolo Tamagnini
  10. Duen Horng Chau

Papers from Adam Perer's perspective

Ordered by how strongly the researchers Adam Perer 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. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers