Sheng Chen

with Harris · 2008

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Sheng Chen trusts overall

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

  1. Robert E. Schapire
  2. Vladimir Naumovich Vapni
  3. M. Stone
  4. David E. Goldberg
  5. R. Meir
  6. Gunnar Rätsch
  7. Yoav Freund
  8. Leo Breiman

Papers from Sheng Chen's perspective

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

  1. The Nature of Statistical Learning Theory
  2. The Strength of Weak Learnability
  3. ImageNet classification with deep convolutional neural networks
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Genetic Algorithms in Search Optimization and Machine Learning
  7. Cross‐Validatory Choice and Assessment of Statistical Predictions
  8. An Introduction to Boosting and Leveraging
  9. Support-Vector Networks
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers