Reza Karimi
Quantitative Science Studies · 2020
A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Reza Karimi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Reza Karimi's perspective
Ordered by how strongly the researchers Reza Karimi 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
- Language Models are Few-Shot Learners (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Scopus as a curated, high-quality bibliometric data source for academic research in quantitative science studies (2020) — 1,847 citations
- Serving DNNs like Clockwork: Performance Predictability from the Bottom Up (2020) — 420 citations