Canh T. Dinh

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 43 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Canh T. Dinh trusts overall

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

  1. H. Brendan McMahan
  2. Sebastian U. Stich
  3. Virginia Smith
  4. Yann LeCun
  5. Yurii E. Nesterov
  6. Alex Krizhevsky
  7. Yoshua Bengio
  8. Geoffrey E. Hinton
  9. L. Eon Bottou
  10. Jakub Konecný

Who trusts Canh T. Dinh overall

  1. Qinbin Li
  2. Mingzhe Chen
  3. Zhuangdi Zhu
  4. Jaehoon Oh
  5. Mang Ye
  6. Aviv Shamsian
  7. Young Geun Kim
  8. Michael Zhang
  9. Junyuan Hong
  10. Jianqing Zhang

Papers from Canh T. Dinh's perspective

Ordered by how strongly the researchers Canh T. Dinh 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Learning Multiple Layers of Features from Tiny Images
  7. ImageNet: A large-scale hierarchical image database
  8. Attention is All you Need (Neural Information Processing Systems)
  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