Rose Catherine
Artificial Intelligence · 2017–2018
A researcher in the Science corpus: 2 papers; trusts 15 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 36 citations into it; #31,955 of 35,345 by trust here, #25,040 by citations
- Information Systems — 36 citations into it; #7,642 of 8,771 by trust here, #5,713 by citations
- Computer Vision and Pattern Recognition — 18 citations into it
- Recommender Systems — 15 citations into it
- Natural Language Processing — 7 citations into it
- Probabilistic & Bayesian Methods — 5 citations into it
Whom Rose Catherine trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Julian McAuley
- Yongfeng Zhang
- Yehuda Koren
- David M. Blei
- Jure Leskovec
- Geoffrey E. Hinton
- Kaiming He
- Xiao Yu
- Michael I. Jordan
- Yoshua Bengio
Who trusts Rose Catherine overall
Papers from Rose Catherine's perspective
Ordered by how strongly the researchers Rose Catherine 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)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- MMALFM (2018) — 170 citations
- Explainable Entity-based Recommendations with Knowledge Graphs (2017) — 56 citations