Konpat Preechakul

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 212 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Konpat Preechakul trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Aäron van den Oord
  4. Tero Karras
  5. Alex Krizhevsky
  6. Kaiming He
  7. Yoshua Bengio
  8. Yann LeCun
  9. Oriol Vinyals
  10. Ilya Sutskever

Who trusts Konpat Preechakul overall

  1. Aditya Ramesh
  2. Xiaohui Zeng
  3. Kai Shen
  4. Prafulla Dhariwal

Papers from Konpat Preechakul's perspective

Ordered by how strongly the researchers Konpat Preechakul 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. Attention is All you Need (Neural Information Processing Systems)
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Learning Multiple Layers of Features from Tiny Images

Their papers