David A. Patterson

Artificial Intelligence · 1969–2023

A researcher in the Science corpus: 29 papers; trusts 33 researchers and is trusted by 37 researchers here, as inferred from the citation graph.

Subfields

Whom David A. Patterson trusts overall

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

  1. David R. So
  2. Geoffrey E. Hinton
  3. Quoc V. Le
  4. Alex Krizhevsky
  5. Alexandre Lacoste
  6. Yoshua Bengio
  7. Diederik P. Kingma
  8. Kaiming He
  9. Oriol Vinyals
  10. Ilya Sutskever

Who trusts David A. Patterson overall

  1. Onur Aciiçmez
  2. Neil C. Thompson
  3. Haifeng Yu
  4. Daniel A. Jiménez
  5. Edward A. Lee
  6. Dan Otter
  7. Bicheng Ying
  8. Edmund M. Clarke
  9. Gang Chen
  10. Seongbeom Kim

Papers from David A. Patterson's perspective

Ordered by how strongly the researchers David A. Patterson 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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers