Daniel Niels Holtmann-Rice

Computer Vision and Pattern Recognition · 2016–2025

A researcher in the Science corpus: 5 papers; trusts 92 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Daniel Niels Holtmann-Rice trusts overall

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

  1. Alex Graves
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Diederik P. Kingma
  5. Kaiming He
  6. Alex Krizhevsky
  7. Nitish Srivastava
  8. Yann LeCun
  9. David G. Lowe
  10. Ilya Sutskever

Who trusts Daniel Niels Holtmann-Rice overall

  1. Krzysztof Marcin Choromanski
  2. Jakub Konecný

Papers from Daniel Niels Holtmann-Rice's perspective

Ordered by how strongly the researchers Daniel Niels Holtmann-Rice 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. Going deeper with convolutions
  7. ImageNet: A large-scale hierarchical image database
  8. Attention is All you Need (Neural Information Processing Systems)
  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