Alice H. Oh

Artificial Intelligence · 2000–2022

A researcher in the Science corpus: 4 papers; trusts 95 researchers and is trusted by 69 researchers here, as inferred from the citation graph.

Subfields

Whom Alice H. Oh trusts overall

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

  1. Yoshua Bengio
  2. Diederik P. Kingma
  3. Frederick Jelinek
  4. Geoffrey E. Hinton
  5. Tomas Mikolov
  6. Alex Krizhevsky
  7. Thomas Kipf
  8. Ilya Sutskever
  9. Max Welling
  10. Yann LeCun

Who trusts Alice H. Oh overall

  1. Tsung-Hsien Wen
  2. Ruhi Sarikaya
  3. Ondrej Dusek
  4. Thien Hai Nguyen
  5. Graeme Hirst
  6. Milica Gasic
  7. Ryan J. Lowe
  8. Sebastian Gehrmann
  9. Zhiyuan Chen
  10. B. Liu

Papers from Alice H. Oh's perspective

Ordered by how strongly the researchers Alice H. Oh 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. Learning Multiple Layers of Features from Tiny Images
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers