Michelle Peters
Artificial Intelligence · 2022
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 152 citations into it
Whom Michelle Peters trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Jerome H. Friedman (in Artificial Intelligence)
Papers from Michelle Peters's perspective
Ordered by how strongly the researchers Michelle Peters 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)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Visualizing Data using t-SNE
- ImageNet: A large-scale hierarchical image database
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images