Shengyang Dai

Artificial Intelligence · with Feng · 2019

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Shengyang Dai trusts overall

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

  1. Barret Zoph
  2. Alex Krizhevsky
  3. Ronald J. Williams

Papers from Shengyang Dai's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Learning Multiple Layers of Features from Tiny Images
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Rethinking the Inception Architecture for Computer Vision
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Gradient-based learning applied to document recognition
  10. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning

Their papers