Chad DeChant

Computer Vision and Pattern Recognition · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 33 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Chad DeChant trusts overall

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

  1. Kaiming He
  2. Yoshua Bengio
  3. Diederik P. Kingma
  4. J. G. Arnal Barbedo
  5. Yann LeCun
  6. Geoffrey E. Hinton
  7. X. Zhang
  8. Xavier Glorot
  9. Alex Krizhevsky
  10. Shaoqing Ren

Who trusts Chad DeChant overall

  1. Yu Jiang
  2. Lili Li
  3. Muhammad Hammad Saleem
  4. J. G. Arnal Barbedo
  5. Chowdhury Rafeed Rahman
  6. Vijaypal Singh Dhaka
  7. Muhammad Ali Shoaib
  8. Changying Li
  9. Xian-Feng Han
  10. Sulabh Kumra

Papers from Chad DeChant's perspective

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

Their papers