Chen Chen

Artificial Intelligence · with Cheng · 2021

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

Subfields

Whom Chen Chen trusts overall

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

  1. Vijay Prakash Dwivedi
  2. Liang-Chieh Chen
  3. Kaiming He
  4. John Ingraham
  5. Diederik P. Kingma
  6. Pavel Izmailov
  7. Geoffrey E. Hinton
  8. Max Welling
  9. Pablo Gainza
  10. Hong Zeng

Papers from Chen Chen's perspective

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

Their papers