Multi-Label Learning

Description from the archive archive 2025-07-28.

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

8 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

1 subtask in the archive's task tree.

Most implemented papers archive 2025-07-28

30 shown of 92 papers with code (299 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.

• Training Deep Networks for Facial Expression Recognition with Crowd-Sourced Label Distribution
  3 Aug 2016 7 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  Crowd sourcing has become a widely adopted scheme to collect ground truth labels.
• A Survey on Extreme Multi-label Learning
  8 Oct 2022 4 repositories listed
  Multi-label learning has attracted significant attention from both academic and industry field in recent decades.
• MER 2023: Multi-label Learning, Modality Robustness, and Semi-Supervised Learning
  18 Apr 2023 3 repositories listed
  The first Multimodal Emotion Recognition Challenge (MER 2023) was successfully held at ACM Multimedia.
• Bonsai -- Diverse and Shallow Trees for Extreme Multi-label Classification
  17 Apr 2019 3 repositories listed
  In this paper, we develop a suite of algorithms, called Bonsai, which generalizes the notion of label representation in XMC, and partitions the labels in the representation space to learn shallow trees.
• MER 2024: Semi-Supervised Learning, Noise Robustness, and Open-Vocabulary Multimodal Emotion Recognition
  26 Apr 2024 2 repositories listed Syntology ran 5 of 9 samples · 4 unverified · 9 pointer-only (licence)
  However, this process may lead to inaccurate annotations, such as ignoring non-majority or non-candidate labels.
• DICNet: Deep Instance-Level Contrastive Network for Double Incomplete Multi-View Multi-Label Classification
  15 Mar 2023 2 repositories listed Syntology ran 2 of 7 samples · 5 unverified
  To deal with the double incomplete multi-view multi-label classification problem, we propose a deep instance-level contrastive network, namely DICNet.
• Incomplete Multi-View Weak-Label Learning with Noisy Features and Imbalanced Labels
  4 Jan 2022 2 repositories listed
  A variety of modern applications exhibit multi-view multi-label learning, where each sample has multi-view features, and multiple labels are correlated via common views.
• Simple and Robust Loss Design for Multi-Label Learning with Missing Labels
  13 Dec 2021 2 repositories listed Syntology ran 2 of 7 samples · 5 unverified
  Multi-label learning in the presence of missing labels (MLML) is a challenging problem.
• Multi-Label Learning from Single Positive Labels
  17 Jun 2021 2 repositories listed Syntology ran 3 of 13 samples · 10 unverified
  When the number of potential labels is large, human annotators find it difficult to mention all applicable labels for each training image.
• Multi-Moments in Time: Learning and Interpreting Models for Multi-Action Video Understanding
  1 Nov 2019 2 repositories listed Syntology ran 0 of 10 samples · 10 unverified · 10 pointer-only (licence)
  Videos capture events that typically contain multiple sequential, and simultaneous, actions even in the span of only a few seconds.
• Self-Paced Multi-Label Learning with Diversity
  8 Oct 2019 2 repositories listed
  The major challenge of learning from multi-label data has arisen from the overwhelming size of label space which makes this problem NP-hard.
• Synthetic Oversampling of Multi-Label Data based on Local Label Distribution
  2 May 2019 2 repositories listed
  Class-imbalance is an inherent characteristic of multi-label data which affects the prediction accuracy of most multi-label learning methods.
• Learning to Separate Object Sounds by Watching Unlabeled Video
  5 Apr 2018 2 repositories listed
  Our work is the first to learn audio source separation from large-scale "in the wild" videos containing multiple audio sources per video.
• Food Ingredients Recognition through Multi-label Learning
  27 Jul 2017 2 repositories listed
  Automatically constructing a food diary that tracks the ingredients consumed can help people follow a healthy diet.
• DiSMEC - Distributed Sparse Machines for Extreme Multi-label Classification
  8 Sep 2016 2 repositories listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)
  In this work, we present DiSMEC, which is a large-scale distributed framework for learning one-versus-rest linear classifiers coupled with explicit capacity control to control model size.
• Deep Region and Multi-Label Learning for Facial Action Unit Detection
  1 Jun 2016 2 repositories listed
  Region learning (RL) and multi-label learning (ML) have recently attracted increasing attentions in the field of facial Action Unit (AU) detection.
• Cut out and Replay: A Simple yet Versatile Strategy for Multi-Label Online Continual Learning
  26 May 2025 1 repository listed
  It not only enables models to simultaneously address catastrophic forgetting, missing labels, and class imbalance challenges, but also serves as an orthogonal solution that seamlessly integrates with existing approaches.
• ProtoECGNet: Case-Based Interpretable Deep Learning for Multi-Label ECG Classification with Contrastive Learning
  11 Apr 2025 1 repository listed
  Deep learning-based electrocardiogram (ECG) classification has shown impressive performance but clinical adoption has been slowed by the lack of transparent and faithful explanations.
• Label Ranker: Self-Aware Preference for Classification Label Position in Visual Masked Self-Supervised Pre-Trained Model
  3 Mar 2025 1 repository listed
  The accuracy gap between these results suggests that the visual masked self-supervised pre-trained model has an inherent preference for classification label positions.
• A Simple but Effective Closed-form Solution for Extreme Multi-label Learning
  17 Jan 2025 1 repository listed
  Many current high-performance XML models are composed of a lot of hyperparameters, which complicates the tuning process.
• Towards Macro-AUC oriented Imbalanced Multi-Label Continual Learning
  24 Dec 2024 1 repository listed
  To fill this gap, in this paper, we propose a new memory replay-based method to tackle the imbalance issue for Macro-AUC-oriented MLCL.
• Dual-Decoupling Learning and Metric-Adaptive Thresholding for Semi-Supervised Multi-Label Learning
  26 Jul 2024 1 repository listed
  In this paper, we propose a dual-perspective method to generate high-quality pseudo-labels.
• Multi-label Learning with Random Circular Vectors
  8 Jul 2024 1 repository listed
  The extreme multi-label classification~(XMC) task involves learning a classifier that can predict from a large label set the most relevant subset of labels for a data instance.
• Pedestrian Attribute Recognition as Label-balanced Multi-label Learning
  8 May 2024 1 repository listed
  Rooting in the scarcity of most attributes, realistic pedestrian attribute datasets exhibit unduly skewed data distribution, from which two types of model failures are delivered: (1) label imbalance: model predictions…
• Boosting Single Positive Multi-label Classification with Generalized Robust Loss
  6 May 2024 1 repository listed Syntology ran 4 of 4 samples · 0 unverified · 4 pointer-only (licence)
  Multi-label learning (MLL) requires comprehensive multi-semantic annotations that is hard to fully obtain, thus often resulting in missing labels scenarios.
• ProPML: Probability Partial Multi-label Learning
  12 Mar 2024 1 repository listed Syntology ran 1 of 1 samples · 0 unverified
  Partial Multi-label Learning (PML) is a type of weakly supervised learning where each training instance corresponds to a set of candidate labels, among which only some are true.
• MIML library: a Modular and Flexible Library for Multi-instance Multi-label Learning
  12 Feb 2024 1 repository listed
  MIML library is a Java software tool to develop, test, and compare classification algorithms for multi-instance multi-label (MIML) learning.
• Vision-Language Pseudo-Labels for Single-Positive Multi-Label Learning
  24 Oct 2023 1 repository listed
  In general multi-label learning, a model learns to predict multiple labels or categories for a single input image.
• Neural Collapse in Multi-label Learning with Pick-all-label Loss
  24 Oct 2023 1 repository listed Syntology ran 4 of 9 samples · 5 unverified · 9 pointer-only (licence)
  We study deep neural networks for the multi-label classification (MLab) task through the lens of neural collapse (NC).
• Multi-Label Feature Selection Using Adaptive and Transformed Relevance
  26 Sep 2023 1 repository listed
  Multi-label learning has emerged as a crucial paradigm in data analysis, addressing scenarios where instances are associated with multiple class labels simultaneously.

Syntology lines on 10 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.