Tingting Chen

Artificial Intelligence · with Bai · 2019

A researcher in the Science corpus: 2 papers; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Tingting Chen trusts overall

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

  1. Kaspar Riesen
  2. Geoffrey E. Hinton
  3. Diederik P. Kingma
  4. Thomas Kipf
  5. Horst Bunke
  6. Max Welling
  7. Yoshua Bengio
  8. L. V. D. van der Maaten

Papers from Tingting Chen's perspective

Ordered by how strongly the researchers Tingting 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. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  6. Attention is All you Need (Neural Information Processing Systems)
  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