Peter Mattson

Computer Vision and Pattern Recognition · 2019–2024

A researcher in the Science corpus: 7 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Peter Mattson trusts overall

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

  1. Alex Krizhevsky
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Ross B. Girshick
  5. Jia Deng
  6. Diederik P. Kingma
  7. Yoshua Bengio
  8. Tsung-Yi Lin
  9. Yann LeCun
  10. Ilya Sutskever

Who trusts Peter Mattson overall

  1. Carole-Jean Wu
  2. Tri Dao
  3. Bilge Acun
  4. Chunxing Yin
  5. Udit Gupta
  6. Noveen Sachdeva
  7. Steffen Rendle
  8. Diogo Almeida
  9. Dheevatsa Mudigere
  10. Young Geun Kim

Papers from Peter Mattson's perspective

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

Their papers