Yang Zhao
Representation & Self-Supervised Learning · with Li · 2017
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Representation & Self-Supervised Learning — 5 citations into it
Whom Yang Zhao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Yang Zhao overall
Papers from Yang Zhao's perspective
Ordered by how strongly the researchers Yang Zhao trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- ImageNet Large Scale Visual Recognition Challenge
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- A deep learning ensemble approach for crude oil price forecasting (2017) — 348 citations