David C. Atkins

Artificial Intelligence · 2006–2022

A researcher in the Science corpus: 8 papers; trusts 30 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom David C. Atkins trusts overall

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

  1. Kaiming He
  2. Yoshua Bengio
  3. Denise Previti
  4. Geoffrey E. Hinton
  5. F. Fincham
  6. Diederik P. Kingma
  7. Jacob Devlin
  8. Ilya Sutskever
  9. Alex Krizhevsky
  10. M. McCullough

Who trusts David C. Atkins overall

  1. Ashish Sharma
  2. C. Ellison
  3. Inna Wanyin Lin
  4. Caleb Ziems

Papers from David C. Atkins's perspective

Ordered by how strongly the researchers David C. Atkins 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. Long Short-Term Memory
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers