Research graph
References from A survey on neural top-rank learning. Local targets link to admitted publications; unresolved targets remain external evidence.
Top-rank convolutional neural network and its application to medical image-based diagnosis
10.1016/j.patcog.2021.108138 · 2021 · External reference
Learning to rank for information retrieval
10.1561/1500000016 · 2009 · External reference
Optimizing search engines using clickthrough data
2002 · External reference
Learning to rank using gradient descent
2005 · External reference
Learning to rank for information retrieval and natural language processing
10.1007/978-3-031-02155-8 · 2011 · External reference
Stability and generalization of bipartite ranking algorithms
2005 · External reference
Generalization bounds for the area under the ROC curve
2005 · External reference
Bipartite ranking: a risk-theoretic perspective
2016 · External reference
Improving medical search tasks using learning to rank
2018 · External reference
The meaning and use of the area under a receiver operating characteristic (ROC) curve
10.1148/radiology.143.1.7063747 · 1982 · External reference
AUC optimization vs. error rate minimization
2003 · External reference
Ranking and empirical minimization of U-statistics
10.1214/009052607000000910 · 2008 · External reference
A support vector method for multivariate performance measures
2005 · External reference
An efficient boosting algorithm for combining preferences
1998 · External reference
A boosting algorithm for learning bipartite ranking functions with partially labeled data
2008 · External reference
Unresolved reference
2013 · External reference
Adapting ranking SVM to document retrieval
2006 · External reference
Large-scale linear RankSVM
10.1162/neco_a_00571 · 2014 · External reference
Tackling class imbalance with ranking
2016 · External reference
RankSVM for offline signature verification
2019 · External reference
UriBLAD: a urine-based gene expression assay for noninvasive detection of bladder cancer
10.1016/j.jmoldx.2020.10.005 · 2021 · External reference
Computational prediction and characterization of cell-type-specific and shared binding sites
10.1093/bioinformatics/btac798 · 2022 · External reference
Optimizing area under ROC curve with SVMs
2004 · External reference
Combining ranking with traditional methods for ordinal class imbalance
2017 · External reference
A structural SVM based approach for optimizing partial AUC
2013 · External reference
A support vector method for optimizing average precision
2007 · External reference
Accuracy at the top
2012 · External reference
Top rank optimization in linear time
2014 · External reference
Future directions in learning to rank
2011 · External reference
Learning to rank: from pairwise approach to listwise approach
2007 · External reference
Statistical analysis of Bayes optimal subset ranking
10.1109/tit.2008.929939 · 2008 · External reference
Large margin rank boundaries for ordinal regression
2000 · External reference
Listwise approach to learning to rank: theory and algorithm
2008 · External reference
Bipartite ranking from multiple labels: on loss versus label aggregation
2025 · External reference
An efficient boosting algorithm for combining preferences
2003 · External reference
Approximation of the optimal ROC curve and a tree-based ranking algorithm
2008 · External reference
Top-rank learning robust to outliers
2021 · External reference
Enhancing reliability of medical image diagnosis through top-rank learning with rejection module
2025 · External reference
The P-Norm push: a simple convex ranking algorithm that concentrates at the top of the list
2009 · External reference
The infinite push: a new support vector ranking algorithm that directly optimizes accuracy at the absolute top of the list
2011 · External reference
Learning to order things
1997 · External reference
Learning deep structured semantic models for web search using clickthrough data
2013 · External reference
Learning semantic representations using convolutional neural networks for web search
2014 · External reference
DeepRank: a new deep architecture for relevance ranking in information retrieval
2017 · External reference
AUC maximization in the era of big data and AI: a survey
10.1145/3554729 · 2022 · External reference
Top rank supervised binary coding for visual search
2015 · External reference
Learning convolutional neural network to maximize Pos@Top performance measure
2017 · External reference
Large-scale optimization of partial AUC in a range of false positive rates
2022 · External reference
When AUC meets DRO: optimizing partial AUC for deep learning with non-convex convergence guarantee
2022 · External reference
Optimizing two-way partial AUC with an end-to-end framework
10.1109/tpami.2022.3185311 · 2023 · External reference
Optimizing partial area under the top-k curve: theory and practice
2023 · External reference
GlobalAP: global average precision optimization for person re-identification
10.1016/j.patcog.2023.109682 · 2023 · External reference
Analysis and optimization of loss functions for multiclass, top-k, and multilabel classification
10.1109/tpami.2017.2751607 · 2018 · External reference
Rank-based decomposable losses in machine learning: a survey
2023 · External reference
Picture collage
10.1109/tmm.2009.2030741 · 2009 · External reference
Learning to rank using user clicks and visual features for image retrieval
10.1109/tcyb.2014.2336697 · 2015 · External reference
Learning to rank short text pairs with convolutional deep neural networks
2015 · External reference
A deep relevance matching model for ad-hoc retrieval
2016 · External reference
Learning bregman distance functions for structural learning to rank
10.1109/tkde.2017.2654250 · 2017 · External reference
Listwise learning to rank by exploring structure of objects
10.1109/tkde.2016.2535214 · 2016 · External reference
Optimizing search engine revenue in sponsored search
2009 · External reference
Learning fine-grained image similarity with deep ranking
2014 · External reference
FaceNet: a unified embedding for face recognition and clustering
2015 · External reference
Improved deep metric learning with multi-class N-pair loss objective
2016 · External reference
Deep ranking for person re-identification via joint representation learning
10.1109/tip.2016.2545929 · 2016 · External reference
Ranking-based survival prediction on histopathological whole-slide images
2020 · External reference
Ultrasound volume projection image quality selection by ranking from convolutional RankNet
10.1016/j.compmedimag.2020.101847 · 2021 · External reference
Compositional training for end-to-end deep AUC maximization
2022 · External reference
FAUC-S: deep AUC maximization by focusing on hard samples
10.1016/j.neucom.2023.127172 · 2024 · External reference
Unresolved reference
1999 · External reference
A desicion-theoretic generalization of on-line learning and an application to boosting
1995 · External reference
Greedy function approximation: a gradient boosting machine
10.1214/aos/1013203451 · 2001 · External reference
Adarank: a boosting algorithm for information retrieval
2007 · External reference
Learning to rank with nonsmooth cost functions
2006 · External reference
DLoopCaller: a deep learning approach for predicting genome-wide chromatin loops by integrating accessible chromatin landscapes
10.1371/journal.pcbi.1010572 · 2022 · External reference
AUC-oriented graph neural network for fraud detection
2022 · External reference
Listwise approach to learning to rank: theory and algorithm
2008 · External reference
Paired contrastive feature for highly reliable offline signature verification
10.1016/j.patcog.2023.109816 · 2023 · External reference
Beyond singular prototype: a prototype splitting strategy for few-shot medical image segmentation
10.1016/j.neucom.2024.127990 · 2024 · External reference
Partial AUC estimation and regression
10.1111/1541-0420.00071 · 2003 · External reference
Support vector algorithms for optimizing the partial area under the ROC curve
10.1162/neco_a_00972 · 2017 · External reference
A boosting method for maximizing the partial area under the ROC curve
10.1186/1471-2105-11-314 · 2010 · External reference
Learning by minimizing the sum of ranked range
2020 · External reference
When all we need is a piece of the pie: a generic framework for optimizing two-way partial AUC
2021 · External reference
Learning to rank resources with GNN
2023 · External reference
GNNRank: learning global rankings from pairwise comparisons via directed graph neural networks
2022 · External reference
Graph pooling for graph-level representation learning: a survey
10.1007/s10462-024-10949-2 · 2024 · External reference
Toward self-adaptive adjacency graph similarity deep domain transfer
10.1109/tsmc.2025.3614131 · 2025 · External reference
Hierarchical multiview top-k pooling with deep-Q-Networks
10.1109/tai.2023.3334261 · 2024 · External reference
Unresolved reference
External reference
Unresolved reference
External reference
Large language models are effective text rankers with pairwise ranking prompting
2024 · External reference
Unresolved reference
External reference
Unresolved reference
External reference
Unresolved reference
External reference
Unresolved reference
External reference
Unresolved reference
External reference
Recranker: instruction tuning large language model as ranker for top-k recommendation
10.1145/3705728 · 2025 · External reference
Unresolved reference
External reference
The curious case of neural text degeneration
2020 · External reference
Categorical reparameterization with gumbel-softmax
2017 · External reference
Learning to rank for information retrieval and natural language processing
10.1007/978-3-031-02155-8 · ExternalCitation · doi-reference
Graph pooling for graph-level representation learning: a survey
10.1007/s10462-024-10949-2 · ExternalCitation · doi-reference
Ultrasound volume projection image quality selection by ranking from convolutional RankNet
10.1016/j.compmedimag.2020.101847 · ExternalCitation · doi-reference
UriBLAD: a urine-based gene expression assay for noninvasive detection of bladder cancer
10.1016/j.jmoldx.2020.10.005 · ExternalCitation · doi-reference
FAUC-S: deep AUC maximization by focusing on hard samples
10.1016/j.neucom.2023.127172 · ExternalCitation · doi-reference
Beyond singular prototype: a prototype splitting strategy for few-shot medical image segmentation
10.1016/j.neucom.2024.127990 · ExternalCitation · doi-reference
Top-rank convolutional neural network and its application to medical image-based diagnosis
10.1016/j.patcog.2021.108138 · ExternalCitation · doi-reference
GlobalAP: global average precision optimization for person re-identification
10.1016/j.patcog.2023.109682 · ExternalCitation · doi-reference
Paired contrastive feature for highly reliable offline signature verification
10.1016/j.patcog.2023.109816 · ExternalCitation · doi-reference
Computational prediction and characterization of cell-type-specific and shared binding sites
10.1093/bioinformatics/btac798 · ExternalCitation · doi-reference
Hierarchical multiview top-k pooling with deep-Q-Networks
10.1109/tai.2023.3334261 · ExternalCitation · doi-reference
Learning to rank using user clicks and visual features for image retrieval
10.1109/tcyb.2014.2336697 · ExternalCitation · doi-reference
Deep ranking for person re-identification via joint representation learning
10.1109/tip.2016.2545929 · ExternalCitation · doi-reference
Statistical analysis of Bayes optimal subset ranking
10.1109/tit.2008.929939 · ExternalCitation · doi-reference
Listwise learning to rank by exploring structure of objects
10.1109/tkde.2016.2535214 · ExternalCitation · doi-reference
Learning bregman distance functions for structural learning to rank
10.1109/tkde.2017.2654250 · ExternalCitation · doi-reference
Picture collage
10.1109/tmm.2009.2030741 · ExternalCitation · doi-reference
Analysis and optimization of loss functions for multiclass, top-k, and multilabel classification
10.1109/tpami.2017.2751607 · ExternalCitation · doi-reference
Optimizing two-way partial AUC with an end-to-end framework
10.1109/tpami.2022.3185311 · ExternalCitation · doi-reference
Toward self-adaptive adjacency graph similarity deep domain transfer
10.1109/tsmc.2025.3614131 · ExternalCitation · doi-reference
Partial AUC estimation and regression
10.1111/1541-0420.00071 · ExternalCitation · doi-reference
AUC maximization in the era of big data and AI: a survey
10.1145/3554729 · ExternalCitation · doi-reference
Recranker: instruction tuning large language model as ranker for top-k recommendation
10.1145/3705728 · ExternalCitation · doi-reference
The meaning and use of the area under a receiver operating characteristic (ROC) curve
10.1148/radiology.143.1.7063747 · ExternalCitation · doi-reference
Large-scale linear RankSVM
10.1162/neco_a_00571 · ExternalCitation · doi-reference
Support vector algorithms for optimizing the partial area under the ROC curve
10.1162/neco_a_00972 · ExternalCitation · doi-reference
A boosting method for maximizing the partial area under the ROC curve
10.1186/1471-2105-11-314 · ExternalCitation · doi-reference
Ranking and empirical minimization of U-statistics
10.1214/009052607000000910 · ExternalCitation · doi-reference
Greedy function approximation: a gradient boosting machine
10.1214/aos/1013203451 · ExternalCitation · doi-reference
DLoopCaller: a deep learning approach for predicting genome-wide chromatin loops by integrating accessible chromatin landscapes
10.1371/journal.pcbi.1010572 · ExternalCitation · doi-reference
Learning to rank for information retrieval
10.1561/1500000016 · ExternalCitation · doi-reference
