Joost Visser

Artificial Intelligence · 2001–2021

A researcher in the Science corpus: 4 papers; trusts 179 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Joost Visser trusts overall

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

  1. Geoffrey E. Hinton
  2. Ian J. Goodfellow
  3. Nicolas Papernot
  4. Alex Krizhevsky
  5. Nicholas Carlini
  6. Yoshua Bengio
  7. Diederik P. Kingma
  8. Ilya Sutskever
  9. Christian Szegedy
  10. Yann LeCun

Papers from Joost Visser's perspective

Ordered by how strongly the researchers Joost Visser 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. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  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. ImageNet Large Scale Visual Recognition Challenge

Their papers