Junfeng Hou

Model Architectures · 2015

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Junfeng Hou trusts overall

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

  1. Tomas Mikolov
  2. Alex Graves
  3. Slava M. Katz
  4. Yoshua Bengio
  5. J. Urgen Schmidhuber
  6. Sepp Hochreiter

Who trusts Junfeng Hou overall

  1. Hui Jiang

Papers from Junfeng Hou's perspective

Ordered by how strongly the researchers Junfeng Hou trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Long Short-Term Memory
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Learning long-term dependencies with gradient descent is difficult
  7. Attention is All you Need (Neural Information Processing Systems)
  8. A Neural Probabilistic Language Model
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers