Peng Liu

Computer Vision and Pattern Recognition · with Wang · 2016

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

Subfields

Whom Peng Liu trusts

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

  1. Alex Krizhevsky (in Computer Vision and Pattern Recognition)

Papers from Peng Liu's perspective

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

  1. Learning Multiple Layers of Features from Tiny Images
  2. ImageNet: A large-scale hierarchical image database
  3. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  4. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
  5. Large Scale Distributed Deep Networks
  6. Practical Bayesian Optimization of Machine Learning Algorithms
  7. Caffe: Convolutional Architecture for Fast Feature Embedding
  8. Mastering the game of Go with deep neural networks and tree search
  9. Random Search for Hyper-Parameter Optimization
  10. Torch7: A Matlab-like Environment for Machine Learning

Their papers