Xiaobing Feng

Artificial Intelligence · with Zhou · 2015

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 Xiaobing Feng trusts

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

  1. Geoffrey E. Hinton (in Artificial Intelligence)
  2. Naomi S. Altman (in Evaluation & Benchmarks)

Papers from Xiaobing Feng's perspective

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

  1. Gradient-based learning applied to document recognition
  2. Training Products of Experts by Minimizing Contrastive Divergence
  3. Building high-level features using large scale unsupervised learning
  4. A unified architecture for natural language processing: deep neural networks with multitask learning
  5. Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition
  6. Flexible, High Performance Convolutional Neural Networks for Image Classification
  7. Approximation by superpositions of a sigmoidal function
  8. Top Downloads in IEEE Xplore [Reader's Choice]
  9. NeuFlow: A runtime reconfigurable dataflow processor for vision
  10. The Lack of A Priori Distinctions Between Learning Algorithms

Their papers