Can He
Artificial Intelligence · 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
- Artificial Intelligence — 11 citations into it
- Computer Vision and Pattern Recognition — 6 citations into it
- Signal Processing — 5 citations into it
Whom Can He trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Huili Chen
- Bita Darvish Rouhani
- Ian J. Goodfellow
- Jia Guo
- Erwan Le Merrer
- Sebastian Szyller
- Yusuke Uchida
- Yossi Adi
- Farinaz Koushanfar
- Xinyun Chen
Papers from Can He's perspective
Ordered by how strongly the researchers Can He trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Explaining and Harnessing Adversarial Examples
- Learning Multiple Layers of Features from Tiny Images
- ImageNet classification with deep convolutional neural networks
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)