T. Heng

Communication · 2017

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 T. Heng trusts overall

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

  1. Barbara Rogoff
  2. Qi Wu
  3. Jan Lacina
  4. C. Glass

Papers from T. Heng's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Attention is All you Need (Neural Information Processing Systems)
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. ImageNet Large Scale Visual Recognition Challenge
  7. ImageNet: A large-scale hierarchical image database
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Distinctive Image Features from Scale-Invariant Keypoints
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers