Bin Wu

Artificial Intelligence · with Nakamura · 2018

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Bin Wu trusts overall

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

  1. Herman Kamper
  2. Aren Jansen
  3. Michael Heck
  4. Maarten Versteegh
  5. Daniel Renshaw
  6. Hongjie Chen
  7. Daniel Povey
  8. Sakriani Watiasri Sakti
  9. Sharon Goldwater
  10. Xavier Anguera Miró

Papers from Bin Wu's perspective

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

  1. The Kaldi Speech Recognition Toolkit
  2. A comparison of neural network methods for unsupervised representation learning on the zero resource speech challenge
  3. Evaluating speech features with the minimal-pair ABX task: analysis of the classical MFC/PLP pipeline
  4. The Zero Resource Speech Challenge 2015: Proposed Approaches and Results
  5. Unsupervised neural network based feature extraction using weak top-down constraints
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. Parallel inference of dirichlet process Gaussian mixture models for unsupervised acoustic modeling: a feasibility study
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers