Thomas Hueber

Artificial Intelligence · 2010–2021

A researcher in the Science corpus: 4 papers; trusts 51 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Thomas Hueber trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Yoshua Bengio
  4. Alex Graves
  5. Radford M. Neal
  6. Yann LeCun
  7. Ilya Sutskever
  8. Alex Krizhevsky
  9. Aäron van den Oord
  10. Sepp Hochreiter

Who trusts Thomas Hueber overall

  1. Zhaoxi Mu

Papers from Thomas Hueber's perspective

Ordered by how strongly the researchers Thomas Hueber 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. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers