Scale Calibration of Deep Ranking Models-Reference-Cited by-同舟云学术

Scale Calibration of Deep Ranking Models

Published:2022-08-14 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
language:
Short-container-title:

Author:

Yan Le¹,Qin Zhen¹,Wang Xuanhui¹,Bendersky Michael¹,Najork Marc¹

Affiliation:

1. Google, Mountain View, CA, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3534678.3539072

Reference43 articles.

1. An Analysis of the Softmax Cross Entropy Loss for Learning-to-Rank with Binary Relevance

2. Learning to rank using gradient descent

3. Christopher Burges , Robert Ragno , and Quoc Le . Learning to rank with nonsmooth cost functions . In Advances in Neural Information Processing Systems . MIT Press , 2007 . Christopher Burges, Robert Ragno, and Quoc Le. Learning to rank with nonsmooth cost functions. In Advances in Neural Information Processing Systems. MIT Press, 2007.

4. Learning to rank

Cited by 13 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. Beyond Binary Preference: Leveraging Bayesian Approaches for Joint Optimization of Ranking and Calibration;Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2024-08-24

2. A Self-boosted Framework for Calibrated Ranking;Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2024-08-24

3. Understanding the Ranking Loss for Recommendation with Sparse User Feedback;Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2024-08-24

4. LiRank: Industrial Large Scale Ranking Models at LinkedIn;Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2024-08-24

5. Integrating Sigmoid Calibration Function into Entropy Thresholding Segmentation for Enhanced Recognition of Potholes Imaged Using a UAV Multispectral Sensor;Applied Sciences;2024-03-22