Adeline Wong

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Adeline Wong trusts

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

  1. Taku Kudo (in Artificial Intelligence)
  2. Franccoise Beaufays (in Artificial Intelligence)

Papers from Adeline Wong's perspective

Ordered by how strongly the researchers Adeline Wong trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Long Short-Term Memory
  2. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  3. Layer Normalization
  4. Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
  5. ImageNet classification with deep convolutional neural networks
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Long short-term memory recurrent neural network architectures for large scale acoustic modeling
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Gradient-based learning applied to document recognition
  10. Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Their papers