Zeno Gantner
Information Systems · 2009–2012
A researcher in the Science corpus: 6 papers; trusts 48 researchers and is trusted by 163 researchers here, as inferred from the citation graph.
Subfields
- Information Systems — 60 citations into it; #65 of 8,771 by trust here, #92 by citations
- Artificial Intelligence — 42 citations into it; #1,845 of 35,345 by trust here, #2,620 by citations
- Management Science and Operations Research — 22 citations into it; #4,511 of 11,946 by trust here, #4,602 by citations
- Computer Vision and Pattern Recognition — 21 citations into it
- Marketing — 20 citations into it
- Sociology and Political Science — 17 citations into it
- Information Systems and Management — 13 citations into it
- Recommender Systems — 13 citations into it; #13 of 233 by trust here, #11 by citations
Whom Zeno Gantner trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yehuda Koren
- Steffen Rendle
- George Karypis
- Arkadiusz Paterek
- Alex Smola
- Deepak K. Agarwal
- J. Konstan
- Markus Weimer
- David J. Hand
- Jonathan L. Herlocker
Who trusts Zeno Gantner overall
- Xiangnan He
- Ruining He
- Steffen Rendle
- Robin Devooght
- Yue Shi
- Julian McAuley
- Xiang Wang
- Hao Wang
- Vito Bellini
- Yongfeng Zhang
Papers from Zeno Gantner's perspective
Ordered by how strongly the researchers Zeno Gantner 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
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Latent Dirichlet Allocation
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- BPR: Bayesian Personalized Ranking from Implicit Feedback (2009) — 6,726 citations
- MyMediaLite: a free recommender system library (2011) — 435 citations
- Cost-sensitive learning methods for imbalanced data (2010) — 342 citations
- Explaining the user experience of recommender systems (2012) — 879 citations
- Fast context-aware recommendations with factorization machines (2011) — 624 citations
- Learning Attribute-to-Feature Mappings for Cold-Start Recommendations (2010) — 322 citations