J. Shane Culpepper
Information Systems · 2015–2020
A researcher in the Science corpus: 5 papers; trusts 35 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Information Systems — 51 citations into it; #7,729 of 8,771 by trust here, #5,942 by citations
- Signal Processing — 45 citations into it
- Artificial Intelligence — 38 citations into it; #33,860 of 35,345 by trust here, #31,361 by citations
- Information Retrieval & Search — 26 citations into it
- Computer Networks and Communications — 23 citations into it
- Computer Vision and Pattern Recognition — 21 citations into it
- Transportation — 21 citations into it
- Building and Construction — 10 citations into it
Whom J. Shane Culpepper trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jimmy J. Lin
- Andrew Trotman
- Alistair Moffat
- Justin Zobel
- Andrei Z. Broder
- Matt Crane
- Yu Zheng
- Sebastian Bruch
- Olivier Chapelle
- William Webber
Who trusts J. Shane Culpepper overall
Papers from J. Shane Culpepper's perspective
Ordered by how strongly the researchers J. Shane Culpepper 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)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Assessing efficiency–effectiveness tradeoffs in multi-stage retrieval systems without using relevance judgments (2015) — 37 citations
- A Comparison of Document-at-a-Time and Score-at-a-Time Query Evaluation (2017) — 68 citations
- A Survey on Trajectory Data Management, Analytics, and Learning (2020) — 300 citations
- Query Driven Algorithm Selection in Early Stage Retrieval (2017) — 65 citations
- Efficient Cost-Aware Cascade Ranking in Multi-Stage Retrieval (2017) — 87 citations