Kristen M. Meiburger
Artificial Intelligence · 2020
A researcher in the Science corpus: 1 paper; trusts 95 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 51 citations into it
- Computer Vision and Pattern Recognition — 43 citations into it
- Model Architectures — 5 citations into it
Whom Kristen M. Meiburger trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ross B. Girshick
- Kaiming He
- Alex Krizhevsky
- Geoffrey E. Hinton
- Sergey Ioffe
- Shaoqing Ren
- Ilya Sutskever
- Christian Szegedy
- Karen Simonyan
- Yann LeCun
Papers from Kristen M. Meiburger's perspective
Ordered by how strongly the researchers Kristen M. Meiburger 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)
- 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)
- 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
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
- Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation