Ordinal Classification

Benchmarks archive 2025-07-28

1 leaderboard table shown for this task, 1 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

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Subtasks archive 2025-07-28

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Most implemented papers archive 2025-07-28

22 shown of 22 papers with code (72 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Learning-to-Rank Meets Language: Boosting Language-Driven Ordering Alignment for Ordinal Classification
  24 Jun 2023 2 repositories listed Syntology ran 9 of 23 samples · 14 unverified
  Consequently, we propose a cross-modal ordinal pairwise loss to refine the CLIP feature space, where texts and images maintain both semantic alignment and ordering alignment.
• Ultra Fast Deep Lane Detection with Hybrid Anchor Driven Ordinal Classification
  15 Jun 2022 2 repositories listed
  With the help of the anchor-driven representation, we then reformulate the lane detection task as an ordinal classification problem to get the coordinates of lanes.
• CSAW-M: An Ordinal Classification Dataset for Benchmarking Mammographic Masking of Cancer
  2 Dec 2021 2 repositories listed
  Interval and large invasive breast cancers, which are associated with worse prognosis than other cancers, are usually detected at a late stage due to false negative assessments of screening mammograms.
• Cumulative link models for deep ordinal classification
  27 May 2019 2 repositories listed
  Three different link functions are studied in the experimental study, and the results are contrasted with statistical analysis.
• Enhancing Depression Detection via Question-wise Modality Fusion
  26 Mar 2025 1 repository listed
  The performance of our framework is comparable to the current state-of-the-art models on the E-DAIC dataset and enhances interpretability by predicting scores for each question.
• Splitting criteria for ordinal decision trees: an experimental study
  18 Dec 2024 1 repository listed
  An extensive repository considering 45 publicly available OC datasets is presented, supporting the first experimental comparison of ordinal and nominal splitting criteria using well-known OC evaluation metrics.
• dlordinal: a Python package for deep ordinal classification
  24 Jul 2024 1 repository listed
  dlordinal is a new Python library that unifies many recent deep ordinal classification methodologies available in the literature.
• Conformal Risk Control for Ordinal Classification
  1 May 2024 1 repository listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)
  As a natural extension to the standard conformal prediction method, several conformal risk control methods have been recently developed and applied to various learning problems.
• Ordinal classification for interval-valued data and interval-valued functional data
  30 Oct 2023 1 repository listed
  The aim of ordinal classification is to predict the ordered labels of the output from a set of observed inputs.
• Ordinal Classification with Distance Regularization for Robust Brain Age Prediction
  25 Oct 2023 1 repository listed
  However, these methods are subject to an inherent regression to the mean effect, which causes a systematic bias resulting in an overestimation of brain age in young subjects and underestimation in old subjects.
• Convolutional and Deep Learning based techniques for Time Series Ordinal Classification
  16 Jun 2023 1 repository listed
  Hence, this paper presents a first benchmarking of TSOC methodologies, exploiting the ordering of the target labels to boost the performance of current TSC state-of-the-art.
• A generalized framework to predict continuous scores from medical ordinal labels
  30 May 2023 1 repository listed
  These labels are used to train and evaluate disease severity prediction models.
• Interpretable Weighted Siamese Network to Predict the Time to Onset of Alzheimer's Disease from MRI Images
  14 Apr 2023 1 repository listed
  To this end, we select progressive MCI patients from the Alzheimer's Disease Neuroimaging Initiative (ADNI) dataset and construct an ordinal dataset with a prediction target that indicates the time to progression to AD.
• Controlling Class Layout for Deep Ordinal Classification via Constrained Proxies Learning
  1 Mar 2023 1 repository listed Syntology ran 1 of 1 samples · 0 unverified
  For deep ordinal classification, learning a well-structured feature space specific to ordinal classification is helpful to properly capture the ordinal nature among classes.
• Quasi-Unimodal Distributions for Ordinal Classification
  18 Mar 2022 1 repository listed
  This manuscript reviews many of these losses on three different datasets and suggests a potential improvement that focuses the unimodal constraint on the neighborhood around the true class, allowing for a more flexible…
• Improving the repeatability of deep learning models with Monte Carlo dropout
  15 Feb 2022 1 repository listed
  During model development and evaluation, much attention is given to classification performance while model repeatability is rarely assessed, leading to the development of models that are unusable in clinical practice.
• Decreasing Annotation Burden of Pairwise Comparisons with Human-in-the-Loop Sorting: Application in Medical Image Artifact Rating
  10 Feb 2022 1 repository listed Syntology ran 0 of 1 samples · 1 unverified
  Ranking by pairwise comparisons has shown improved reliability over ordinal classification.
• Real-Time Multi-Level Neonatal Heart and Lung Sound Quality Assessment for Telehealth Applications
  29 Sep 2021 1 repository listed
  In this study, a new method is proposed to objectively and automatically assess heart and lung signal quality on a 5-level scale in real-time and to assess the effect of signal quality on vital sign estimation.
• An Effectiveness Metric for Ordinal Classification: Formal Properties and Experimental Results
  1 Jun 2020 1 repository listed
  In Ordinal Classification tasks, items have to be assigned to classes that have a relative ordering, such as positive, neutral, negative in sentiment analysis.
• Non-parametric Uni-modality Constraints for Deep Ordinal Classification
  25 Nov 2019 1 repository listed
  We propose a new constrained-optimization formulation for deep ordinal classification, in which uni-modality of the label distribution is enforced implicitly via a set of inequality constraints over all the pairs of…
• A simple squared-error reformulation for ordinal classification
  2 Dec 2016 1 repository listed
  In this paper, we explore ordinal classification (in the context of deep neural networks) through a simple modification of the squared error loss which not only allows it to not only be sensitive to class ordering, but…
• oAdaBoost: An AdaBoost Variant for Ordinal Classification
  12 Jan 2015 1 repository listed
  Ordinal data classification (ODC) has a wide range of applications in areas where human evaluation plays an important role, ranging from psychology and medicine to information retrieval.

Syntology lines on 4 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.