Jun Zhang
Computer Vision and Pattern Recognition · with Dong · 2020
A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 18 citations into it
- Media Technology — 15 citations into it
- Artificial Intelligence — 12 citations into it
- Atmospheric Science — 6 citations into it
- Representation & Self-Supervised Learning — 6 citations into it
Whom Jun Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Jun Zhang's perspective
Ordered by how strongly the researchers Jun Zhang trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- GENERATIVE ADVERSARIAL NETS
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- A Fast Learning Algorithm for Deep Belief Nets
- This PDF file includes: Materials and Methods
- Gradient-based learning applied to document recognition
- Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion