Beibei Ouyang

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Beibei Ouyang trusts overall

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

  1. Yoon Kim
  2. A. de Cheveigné
  3. Ryuichi Yamamoto
  4. Hideyuki Tachibana
  5. Daniel Povey
  6. David Snyder

Papers from Beibei Ouyang's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Attention is All you Need (Neural Information Processing Systems)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. ImageNet classification with deep convolutional neural networks
  5. Long Short-Term Memory
  6. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  8. Gradient-based learning applied to document recognition
  9. The Kaldi Speech Recognition Toolkit
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers