Jessica Grogan
Artificial Intelligence · 2022
A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 32 citations into it
- Computational Mechanics — 11 citations into it
- Radiology, Nuclear Medicine and Imaging — 8 citations into it
Whom Jessica Grogan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Jessica Grogan's perspective
Ordered by how strongly the researchers Jessica Grogan trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- ImageNet classification with deep convolutional neural networks
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Language Models are Unsupervised Multitask Learners
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Monarch: Expressive Structured Matrices for Efficient and Accurate Training (2022) — 133 citations