Rebecca Hwa

Artificial Intelligence · 2003–2020

A researcher in the Science corpus: 8 papers; trusts 222 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Rebecca Hwa trusts overall

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

  1. Michael Collins
  2. George A. Miller
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. Kaiming He
  6. Yann LeCun
  7. Ilya Sutskever
  8. Tomas Mikolov
  9. Eugene Charniak
  10. Alex Krizhevsky

Who trusts Rebecca Hwa overall

  1. Kevin Gimpel
  2. Min Xiao
  3. Afshin Rahimi
  4. Clara Vania
  5. Noah A. Smith
  6. Kuzman Ganchev
  7. Bing Liu
  8. B. Liu
  9. Paul Sabatier
  10. Markus Bayer

Papers from Rebecca Hwa's perspective

Ordered by how strongly the researchers Rebecca Hwa 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. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers