Christoph Freudenthaler
Information Systems · 2009–2014
A researcher in the Science corpus: 7 papers; trusts 47 researchers and is trusted by 225 researchers here, as inferred from the citation graph.
Subfields
- Information Systems — 55 citations into it; #34 of 8,771 by trust here, #60 by citations
- Artificial Intelligence — 35 citations into it; #1,731 of 35,345 by trust here, #2,534 by citations
- Recommender Systems — 20 citations into it; #11 of 233 by trust here, #9 by citations
- Computer Vision and Pattern Recognition — 17 citations into it
- Management Science and Operations Research — 17 citations into it; #568 of 11,946 by trust here, #689 by citations
- Marketing — 13 citations into it; #305 of 6,289 by trust here, #863 by citations
- Computational Mathematics — 9 citations into it; #205 of 612 by trust here, #206 by citations
- Information Retrieval & Search — 7 citations into it
Whom Christoph Freudenthaler trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yehuda Koren
- Steffen Rendle
- Lars Schmidt-Thieme
- Ruslan Salakhutdinov
- Markus Weimer
- Rong Pan
- Alexandros Karatzoglou
- Thomas Hofmann
- Yifan Hu
- Benjamin M. Marlin
Who trusts Christoph Freudenthaler overall
- Xiangnan He
- Steffen Rendle
- Julian McAuley
- Xiang Wang
- Ruining He
- Xu Chen
- Robin Devooght
- Wang-Cheng Kang
- Yongfeng Zhang
- Jiaxi Tang
Papers from Christoph Freudenthaler's perspective
Ordered by how strongly the researchers Christoph Freudenthaler 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)
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- 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
- Factorizing personalized Markov chains for next-basket recommendation (2010) — 2,851 citations
- Improving pairwise learning for item recommendation from implicit feedback (2014) — 416 citations
- MyMediaLite: a free recommender system library (2011) — 435 citations
- Multi-relational matrix factorization using bayesian personalized ranking for social network data (2012) — 201 citations
- Fast context-aware recommendations with factorization machines (2011) — 624 citations
- Learning Attribute-to-Feature Mappings for Cold-Start Recommendations (2010) — 322 citations