Weidong Dang

Artificial Intelligence · 2017–2019

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

Subfields

Whom Weidong Dang trusts

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

  1. L. Eon Bottou (in Artificial Intelligence)

Papers from Weidong Dang's perspective

Ordered by how strongly the researchers Weidong Dang 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. Rectified Linear Units Improve Restricted Boltzmann Machines
  3. Understanding the difficulty of training deep feedforward neural networks
  4. Identity Mappings in Deep Residual Networks
  5. Representation Learning: A Review and New Perspectives
  6. ImageNet classification with deep convolutional neural networks
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. Gradient-based learning applied to document recognition
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Large-Scale Machine Learning with Stochastic Gradient Descent

Their papers