Peng Fang

Artificial Intelligence · with Yang · 2020

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Peng Fang trusts overall

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

  1. Diederik P. Kingma
  2. Jean-Marc Valin
  3. Laurent Dinh
  4. Ryuichi Yamamoto

Papers from Peng Fang's perspective

Ordered by how strongly the researchers Peng Fang 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. WaveNet: A Generative Model for Raw Audio
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. ImageNet classification with deep convolutional neural networks
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. Density estimation using Real NVP
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers