Bin Ma

Artificial Intelligence · with Li · 2013–2022

A researcher in the Science corpus: 7 papers; trusts 51 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

Whom Bin Ma trusts overall

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

  1. Geoffrey E. Hinton
  2. Najim Dehak
  3. Douglas A. Reynolds
  4. Vladimir Naumovich Vapni
  5. Radford M. Neal
  6. Patrick Kenny
  7. Li Deng
  8. Alex Graves
  9. David Ruppert
  10. Yoshua Bengio

Who trusts Bin Ma overall

  1. Peng Shen
  2. Maarten Versteegh
  3. Jan Chorowski
  4. Xugang Lu

Papers from Bin Ma's perspective

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

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

Their papers