Michael D. Ekstrand
Information Systems · 2011–2018
A researcher in the Science corpus: 2 papers; trusts 46 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Information Systems — 52 citations into it; #6,429 of 8,771 by trust here, #7,107 by citations
- Artificial Intelligence — 34 citations into it
- Sociology and Political Science — 24 citations into it
- Management Science and Operations Research — 17 citations into it; #9,127 of 11,946 by trust here, #8,906 by citations
- Computer Vision and Pattern Recognition — 13 citations into it
- Recommender Systems — 9 citations into it
- Marketing — 8 citations into it
- Signal Processing — 8 citations into it
Whom Michael D. Ekstrand trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- J. Konstan
- John F. Canny
- Jonathan L. Herlocker
- George Karypis
- John Riedl
- Arvind Narayanan
- Paul Resnick
- Thomas Hofmann
- Jennifer Golbeck
- Guy Shani
Who trusts Michael D. Ekstrand overall
- Thilo Hagendorff
- Lingxiao Huang
- Yue Shi
- Nisheeth K. Vishnoi
- Martha A. Larson
- Yongfeng Zhang
- J. Konstan
Papers from Michael D. Ekstrand's perspective
Ordered by how strongly the researchers Michael D. Ekstrand trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- 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)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- Collaborative Filtering Recommender Systems (2011) — 710 citations
- Privacy for All: Ensuring Fair and Equitable Privacy Protections (2018) — 84 citations