Abigail See

Artificial Intelligence · 2007–2022

A researcher in the Science corpus: 8 papers; trusts 288 researchers and is trusted by 667 researchers here, as inferred from the citation graph.

Subfields

Whom Abigail See trusts overall

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

  1. Yoshua Bengio
  2. Ilya Sutskever
  3. Geoffrey E. Hinton
  4. Oriol Vinyals
  5. Diederik P. Kingma
  6. Alex Krizhevsky
  7. Kyunghyun Cho
  8. Alec Radford
  9. Yann LeCun
  10. Alex Graves

Who trusts Abigail See overall

  1. Mohit Bansal
  2. Angela Fan
  3. Sebastian Gehrmann
  4. Mirella Lapata
  5. Furu Wei
  6. Ramakanth Pasunuru
  7. Chenguang Zhu
  8. Wojciech Kryscinski
  9. Caiming Xiong
  10. Jianfeng Gao

Papers from Abigail See's perspective

Ordered by how strongly the researchers Abigail See 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. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers