Guangda Ji
Artificial Intelligence · 2020
A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 17 citations into it
- Scaling & Learning Theory — 7 citations into it
- Computer Vision and Pattern Recognition — 6 citations into it
Whom Guangda Ji trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alexandre B. Tsybakov
- Geoffrey E. Hinton
- Pascal Massart
- Yuan Cao
- Mary Phuong
- Arthur Jacot
- Behnam Neyshabur
- Oriol Vinyals
- Yann LeCun
- Alex Krizhevsky
Who trusts Guangda Ji overall
Papers from Guangda Ji's perspective
Ordered by how strongly the researchers Guangda Ji 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
- Learning Multiple Layers of Features from Tiny Images
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)