Anna Dai
2020
A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Anna Dai trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Anna Dai's perspective
Ordered by how strongly the researchers Anna Dai 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)
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Going deeper with convolutions
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Gradient-based learning applied to document recognition
- GENERATIVE ADVERSARIAL NETS
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
Their papers
- Generative Modeling (2020)