Zhipeng Ding
Artificial Intelligence · 2020
A researcher in the Science corpus: 1 paper; trusts 51 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 24 citations into it
- Computer Vision and Pattern Recognition — 24 citations into it
- Evaluation & Benchmarks — 9 citations into it
- Probabilistic & Bayesian Methods — 5 citations into it
Whom Zhipeng Ding trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Kaiming He
- Geoffrey E. Hinton
- J. Platt
- Gabriel J. Brostow
- Alex Krizhevsky
- Yoshua Bengio
- Bianca Zadrozny
- Yann LeCun
- Jimmy Ba
Who trusts Zhipeng Ding overall
Papers from Zhipeng Ding's perspective
Ordered by how strongly the researchers Zhipeng Ding 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)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Local Temperature Scaling for Probability Calibration (2020) — 122 citations