Natalie D. Enright Jerger
Computer Networks and Communications · 2009–2023
A researcher in the Science corpus: 3 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Networks and Communications — 30 citations into it
- Hardware and Architecture — 24 citations into it
- Computer Vision and Pattern Recognition — 14 citations into it
- Artificial Intelligence — 12 citations into it
Whom Natalie D. Enright Jerger trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Natalie D. Enright Jerger's perspective
Ordered by how strongly the researchers Natalie D. Enright Jerger trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
- Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Caffe: Convolutional Architecture for Fast Feature Embedding
- OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images