Chawin Sitawarin

Artificial Intelligence · 2017–2025

A researcher in the Science corpus: 5 papers; trusts 65 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Chawin Sitawarin trusts overall

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

  1. Yann LeCun
  2. Diederik P. Kingma
  3. Alex Krizhevsky
  4. Geoffrey E. Hinton
  5. Nicholas Carlini
  6. Ian J. Goodfellow
  7. Christian Szegedy
  8. Yoshua Bengio
  9. Ilya Sutskever
  10. Kaiming He

Who trusts Chawin Sitawarin overall

  1. Naveed Akhtar

Papers from Chawin Sitawarin's perspective

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

Their papers