Szu-Jui Chen

Signal Processing · 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 Szu-Jui Chen trusts overall

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

  1. Daniel Povey
  2. Florin Curelaru
  3. Sergey Ioffe
  4. Vijayaditya Peddinti
  5. Geoffrey E. Hinton
  6. David Snyder
  7. Jon Barker
  8. Nitish Srivastava

Papers from Szu-Jui Chen's perspective

Ordered by how strongly the researchers Szu-Jui Chen trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  2. The Kaldi Speech Recognition Toolkit
  3. Dropout: a simple way to prevent neural networks from overfitting
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Long Short-Term Memory
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. ImageNet classification with deep convolutional neural networks
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Front-End Factor Analysis for Speaker Verification
  10. Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks

Their papers