Justus Mattern

Artificial Intelligence · 2023

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

Subfields

Whom Justus Mattern trusts overall

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

  1. Nicholas Carlini
  2. Geoffrey E. Hinton
  3. Alec Radford
  4. Alex Krizhevsky
  5. Florian Tramèr
  6. Diederik P. Kingma
  7. Yoshua Bengio
  8. Ilya Sutskever
  9. Ashish Vaswani
  10. Yann LeCun

Who trusts Justus Mattern overall

  1. Weijia Shi

Papers from Justus Mattern's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Multiple Layers of Features from Tiny Images
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers