Danny Driess

Artificial Intelligence · 2020–2025

A researcher in the Science corpus: 12 papers; trusts 202 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Danny Driess trusts overall

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

  1. Sergey Levine
  2. Geoffrey E. Hinton
  3. Chelsea Finn
  4. Marc Toussaint
  5. Diederik P. Kingma
  6. Alex Krizhevsky
  7. Kaiming He
  8. Yoshua Bengio
  9. Yann LeCun
  10. Ilya Sutskever

Who trusts Danny Driess overall

  1. Ji Lin
  2. Mehdi Mirza
  3. Kevin Black
  4. Gengze Zhou
  5. Geunwoo Kim
  6. Zhengyuan Yang
  7. Zhang Li
  8. Chaoyou Fu
  9. Yueen Ma
  10. Kevin Qinghong Lin

Papers from Danny Driess's perspective

Ordered by how strongly the researchers Danny Driess 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. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers