Jun Deng

Artificial Intelligence · with Schuller · 2013–2019

A researcher in the Science corpus: 3 papers; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jun Deng trusts overall

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

  1. Yoshua Bengio
  2. Geoffrey E. Hinton
  3. Alex Graves
  4. Diederik P. Kingma
  5. Björn Schuller
  6. Karen Simonyan
  7. Alex Krizhevsky
  8. Yann LeCun
  9. Sergey Ioffe
  10. Honglak Lee

Who trusts Jun Deng overall

  1. Qi-rong Mao
  2. Arijit Biswas
  3. Bin Guo
  4. Frank Emmert-Streib
  5. Roy Fejgin
  6. Ming Dong
  7. D. Jia
  8. Björn Schuller
  9. Jing Li

Papers from Jun Deng's perspective

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

Their papers