Jian Dai

Artificial Intelligence · with Chen · 2019

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jian Dai trusts

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

  1. Zequn Sun (in Artificial Intelligence)
  2. Wei Hu (in Artificial Intelligence)
  3. Max Welling (in Artificial Intelligence)
  4. Thomas Kipf (in Artificial Intelligence)

Papers from Jian Dai's perspective

Ordered by how strongly the researchers Jian Dai 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. Understanding the difficulty of training deep feedforward neural networks
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers