Hiroko H. Dodge

Artificial Intelligence · 2018–2021

A researcher in the Science corpus: 3 papers; trusts 61 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hiroko H. Dodge trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Jimmy Ba
  4. Yoshua Bengio
  5. Alex Krizhevsky
  6. Kaiming He
  7. Ilya Sutskever
  8. Yann LeCun
  9. Sepp Hochreiter
  10. R. Caruana

Papers from Hiroko H. Dodge's perspective

Ordered by how strongly the researchers Hiroko H. Dodge 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. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  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