Optimizing Rank-Based Metrics With Blackbox Differentiation-Reference-Cited by-同舟云学术

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Optimizing Rank-Based Metrics With Blackbox Differentiation

Published:2020-06 Issue: Volume: Page:
ISSN:
Container-title:2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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Author:

Rolinek Michal,Musil Vit,Paulus Anselm,Vlastelica Marin,Michaelis Claudio,Martius Georg

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9142308/9156271/09156642.pdf?arnumber=9156642

Cited by 24 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Learning to Rank in Session-Based Recommender Systems;Session-Based Recommender Systems Using Deep Learning;2023-12-21

2. LDW-RS Loss: Label Density-Weighted Loss with Ranking Similarity Regularization for Imbalanced Deep Fetal Brain Age Regression;Communications in Computer and Information Science;2023-11-26

3. Precise Target-Oriented Attack against Deep Hashing-based Retrieval;Proceedings of the 31st ACM International Conference on Multimedia;2023-10-26

4. Chapter 20. Neuro-Symbolic Architectures for Combinatorial Problems in Structured Output Spaces;Frontiers in Artificial Intelligence and Applications;2023-07-21

5. Optimizing Reciprocal Rank with Bayesian Average for improved Next Item Recommendation;Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval;2023-07-18

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