Chen Zhang
Computer Vision and Pattern Recognition · with Kang · 2021
A researcher in the Science corpus: 1 paper; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 19 citations into it
- Artificial Intelligence — 14 citations into it
- Generative Models — 13 citations into it
- Signal Processing — 8 citations into it
- Probabilistic & Bayesian Methods — 5 citations into it
Whom Chen Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Laurent Dinh
- David John Cameron MacKay
- Geoffrey E. Hinton
- Yoshua Bengio
- J. Duda
- Chris S. Wallace
- Radford M. Neal
- Jonathan Ho
- Alex Krizhevsky
Who trusts Chen Zhang overall
Papers from Chen Zhang's perspective
Ordered by how strongly the researchers Chen Zhang trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Auto-Encoding Variational Bayes (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- iVPF: Numerical Invertible Volume Preserving Flow for Efficient Lossless Compression (2021) — 48 citations