Kangmin Tan

Artificial Intelligence · 2022

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

Subfields

Whom Kangmin Tan trusts overall

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

  1. Nils Reimers
  2. Bill Yuchen Lin
  3. Yinhan Liu
  4. Jeff Johnson
  5. Geoffrey E. Hinton
  6. Colin Raffel
  7. Qinyuan Ye
  8. Yoshua Bengio
  9. Michael Lewis
  10. Diederik P. Kingma

Papers from Kangmin Tan's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Long Short-Term Memory
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet classification with deep convolutional neural networks
  6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  7. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
  8. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  9. ImageNet: A large-scale hierarchical image database
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers