Top Rank Optimization in Linear Time

6 October 2014

Papers citing "Top Rank Optimization in Linear Time"

29 / 29 papers shown

Title
Bipartite Ranking From Multiple Labels: On Loss Versus Label Aggregation Michal Lukasik Lin Chen Harikrishna Narasimhan A. Menon Wittawat Jitkrittum Felix X. Yu Sashank J. Reddi Gang Fu M. Bateni Sanjiv Kumar 55 1 0 15 Apr 2025
On the Theories Behind Hard Negative Sampling for Recommendation Wentao Shi Jiawei Chen Fuli Feng Jizhi Zhang Junkang Wu Chongming Gao Xiangnan He BDL 94 37 0 07 Feb 2023
Optimizing Two-way Partial AUC with an End-to-end Framework Zhiyong Yang Qianqian Xu Shilong Bao Yuan He Xiaochun Cao Qingming Huang 75 20 0 23 Jun 2022
Algorithmic Foundations of Empirical X-risk Minimization Tianbao Yang 134 6 0 01 Jun 2022
AUC Maximization in the Era of Big Data and AI: A Survey Tianbao Yang Yiming Ying 172 188 0 28 Mar 2022
Revealing Reliable Signatures by Learning Top-Rank Pairs Xiaotong Ji Yan Zheng D. Suehiro Seiichi Uchida 54 1 0 17 Mar 2022
When AUC meets DRO: Optimizing Partial AUC for Deep Learning with Non-Convex Convergence Guarantee Dixian Zhu Gang Li Bokun Wang Xiaodong Wu Tianbao Yang 138 32 0 01 Mar 2022
DeepTopPush: Simple and Scalable Method for Accuracy at the Top V. Mácha Lukáš Adam Václav Smídl 53 2 0 22 Jun 2020
Nonlinear classifiers for ranking problems based on kernelized SVM V. Mácha Lukáš Adam Václav Smídl 15 2 0 26 Feb 2020
General Framework for Binary Classification on Top Samples Lukáš Adam V. Mácha Václav Smídl Tomás Pevný 47 5 0 25 Feb 2020
The Limited Multi-Label Projection Layer Brandon Amos V. Koltun J. Zico Kolter 95 36 0 20 Jun 2019
Few-Shot Deep Adversarial Learning for Video-based Person Re-identification Lin Wu Yang Wang Hongzhi Yin Meng Wang Ling Shao 85 81 0 29 Mar 2019
Radiological images and machine learning: trends, perspectives, and prospects Zhenwei Zhang E. Sejdić LM&MA MedIm AI4CE 57 167 0 27 Mar 2019
Cold-start Playlist Recommendation with Multitask Learning Dawei Chen Cheng Soon Ong A. Menon 33 4 0 18 Jan 2019
Drug Selection via Joint Push and Learning to Rank Yicheng He Junfeng Liu Xia Ning 35 16 0 23 Jan 2018
tau-FPL: Tolerance-Constrained Learning in Linear Time Ao Zhang Nan Li Jian Pu Jun Wang Junchi Yan H. Zha 27 2 0 15 Jan 2018
Quality Aware Network for Set to Set Recognition Yu Liu Junjie Yan Wanli Ouyang 72 316 0 11 Apr 2017
Analysis and Optimization of Loss Functions for Multiclass, Top-k, and Multilabel Classification Maksim Lapin Matthias Hein Bernt Schiele 87 103 0 12 Dec 2016
Learning convolutional neural network to maximize Pos@Top performance measure Yanyan Geng Ru‐Ze Liang Weizhi Li Qinfeng Li Gaoyuan Liang Chenhao Xu Jim Jing-Yan Wang 62 50 0 27 Sep 2016
Confidence-Weighted Bipartite Ranking Majdi Khalid I. Ray H. Chitsaz 47 11 0 04 Jul 2016
Top-push Video-based Person Re-identification Jinjie You Ancong Wu Xiang Li Weishi Zheng 68 258 0 29 Apr 2016
Optimizing Top Precision Performance Measure of Content-Based Image Retrieval by Learning Similarity Function Ru‐Ze Liang Lihui Shi Haoxiang Wang Jian Meng Jim Jing-Yan Wang Qingquan Sun Yi Gu 57 92 0 22 Apr 2016
Loss Functions for Top-k Error: Analysis and Insights Maksim Lapin Matthias Hein Bernt Schiele 167 96 0 01 Dec 2015
Top-k Multiclass SVM Maksim Lapin Matthias Hein Bernt Schiele VLM 68 92 0 20 Nov 2015
Semi-supervised Collaborative Ranking with Push at Top Iman Barjasteh R. Forsati A. Esfahanian H. Radha 20 5 0 17 Nov 2015
Transductive Optimization of Top k Precision Li-Ping Liu Thomas G. Dietterich Nan Li Zhi Zhou 64 17 0 20 Oct 2015
Perceptron like Algorithms for Online Learning to Rank Sougata Chaudhuri Ambuj Tewari 61 2 0 04 Aug 2015
Surrogate Functions for Maximizing Precision at the Top Purushottam Kar Harikrishna Narasimhan Prateek Jain 80 42 0 26 May 2015
Exploit Bounding Box Annotations for Multi-label Object Recognition Hao Yang Qiufeng Wang Yu Zhang Bin-Bin Gao Jianxin Wu Jianfei Cai 105 164 0 22 Apr 2015