PiRank: Scalable Learning To Rank via Differentiable Sorting

PiRank: Scalable Learning To Rank via Differentiable Sorting

12 December 2020

Robin M. E. Swezey

Papers citing "PiRank: Scalable Learning To Rank via Differentiable Sorting"

15 / 15 papers shown

Title
Learning Cascade Ranking as One Network Yunli Wang Zhenru Zhang Zhengren Wang Zheng Yang Ying Li Jian Yang Shiyang Wen Peng Jiang Kun Gai 54 0 0 13 Mar 2025
Optimizing Preference Alignment with Differentiable NDCG Ranking Jiacong Zhou Xianyun Wang Jun Yu 40 2 0 17 Oct 2024
HyperDPO: Hypernetwork-based Multi-Objective Fine-Tuning Framework Yinuo Ren Tesi Xiao Michael Shavlovsky Lexing Ying Holakou Rahmanian 28 0 0 10 Oct 2024
Efficient Pointwise-Pairwise Learning-to-Rank for News Recommendation Nithish Kannen Yao Ma Gerrit J. J. van den Burg Jean Baptiste Faddoul 29 1 0 26 Sep 2024
Improved Diversity-Promoting Collaborative Metric Learning for Recommendation Shilong Bao Qianqian Xu Zhiyong Yang Yuan He Xiaochun Cao Qingming Huang 58 5 0 02 Sep 2024
Listwise Reward Estimation for Offline Preference-based Reinforcement Learning Heewoong Choi Sangwon Jung Hongjoon Ahn Taesup Moon OffRL 52 2 0 08 Aug 2024
Learning semantic image quality for fetal ultrasound from noisy ranking annotation Manxi Lin Jakob Ambsdorf Emilie Pi Fogtmann Sejer Zahra Bashir Chun Kit Wong ... M. B. S. Svendsen Mads Nielsen M. Tolsgaard Anders Christensen Aasa Feragen 37 3 0 13 Feb 2024
Adaptive Neural Ranking Framework: Toward Maximized Business Goal for Cascade Ranking Systems Yunli Wang Zhiqiang Wang Jian Yang Shiyang Wen Dongying Kong Han Li Kun Gai 37 10 0 16 Oct 2023
SpatialRank: Urban Event Ranking with NDCG Optimization on Spatiotemporal Data Bang An Xun Zhou Yongjian Zhong Tianbao Yang 20 1 0 30 Sep 2023
Pretrained deep models outperform GBDTs in Learning-To-Rank under label scarcity Charlie Hou K. K. Thekumparampil Michael Shavlovsky Giulia Fanti Yesh Dattatreya Sujay Sanghavi LMTD 31 1 0 31 Jul 2023
Lero: A Learning-to-Rank Query Optimizer Rong Zhu Wei Chen Bolin Ding Xingguang Chen A. Pfadler Ziniu Wu Jingren Zhou 27 52 0 14 Feb 2023
Learning by Sorting: Self-supervised Learning with Group Ordering Constraints Nina Shvetsova Felix Petersen Anna Kukleva Bernt Schiele Hilde Kuehne SSL 49 13 0 05 Jan 2023
Algorithmic Foundations of Empirical X-risk Minimization Tianbao Yang 46 5 0 01 Jun 2022
Large-scale Stochastic Optimization of NDCG Surrogates for Deep Learning with Provable Convergence Zimeng Qiu Quanqi Hu Yongjian Zhong Lijun Zhang Tianbao Yang BDL 32 17 0 24 Feb 2022
Scalable Unidirectional Pareto Optimality for Multi-Task Learning with Constraints Soumyajit Gupta Gurpreet Singh Raghu Bollapragada Matthew Lease 30 4 0 28 Oct 2021