bookmarks (hide)102
- The lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate - PyTorchLightning/pytorch-lightning
- A framework for evaluating session recommendation algorithms, with many baselines.
- This article aims to provide a concise yet comprehensive introduction to one of the most important class of control algorithms in Reinforcement Learning - Policy Gradients. I will discuss these…
- natbib package reference cheat sheet
publications (hide)300
- 2021 International Conference on Data Mining Workshops (ICDMW), page 10-17. (December 2021)
- Proceedings of the 2nd Workshop on Deep Learning for Recommender Systems, ACM, (August 2017)
- (2017)
- CoRR, (2017)
- KI 2020: Advances in Artificial Intelligence, (2020)
- Fifteenth ACM Conference on Recommender Systems, ACM, (September 2021)
- (2021)cite arxiv:2103.01474.
- WWW, page 173-182. ACM, (2017)
- (2020)cite arxiv:2003.12206Comment: To appear at JMLR, 16 pages + Appendix.
- Proceedings of the 13th International Conference on Web Search and Data Mining, (2020)
- Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, (2018)
- Proceedings of the 2018 World Wide Web Conference, (2018)
- The World Wide Web Conference, page 3398–3404. New York, NY, USA, Association for Computing Machinery, (2019)
- NAACL-HLT, (2019)
- Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, (2018)
- Proceedings of the 28th ACM International Conference on Information and Knowledge Management, (2019)
- Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, (2019)
- NAACL-HLT, (2019)
- ArXiv, (2019)
- ArXiv, (2019)
