Natawut Monaikul

Artificial Intelligence · 2021

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 Natawut Monaikul trusts overall

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

  1. Geoffrey E. Hinton
  2. Zhizhong Li
  3. Zhiyuan Chen
  4. Jacob Devlin
  5. Oriol Vinyals
  6. Konstantin Shmelkov
  7. Yoshua Bengio
  8. Alex Krizhevsky
  9. Bing Liu
  10. Amal Rannen Triki

Who trusts Natawut Monaikul overall

  1. Rui Wang

Papers from Natawut Monaikul's perspective

Ordered by how strongly the researchers Natawut Monaikul 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  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. ImageNet Large Scale Visual Recognition Challenge
  10. Distilling the Knowledge in a Neural Network (arXiv.org)

Their papers