Weakly Supervised Classification

Benchmarks archive 2025-07-28

2 leaderboard tables shown for this task, 2 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

4 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

25 shown of 25 papers with code (39 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.

• ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases
  5 May 2017 26 repositories listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)
  The chest X-ray is one of the most commonly accessible radiological examinations for screening and diagnosis of many lung diseases.
• Positive-Unlabeled Learning using Random Forests via Recursive Greedy Risk Minimization
  16 Oct 2022 3 repositories listed Syntology ran 3 of 4 samples · 1 unverified · 2 pointer-only (licence)
  Key to our approach is a new interpretation of decision tree algorithms for positive and negative data as \emph{recursive greedy risk minimization algorithms}.
• TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classification
  2 Jun 2021 3 repositories listed
  Multiple instance learning (MIL) is a powerful tool to solve the weakly supervised classification in whole slide image (WSI) based pathology diagnosis.
• Kernel Density Matrices for Probabilistic Deep Learning
  26 May 2023 2 repositories listed
  In doing so, we provide a versatile representation of marginal and joint probability distributions that allows us to develop a differentiable, compositional, and reversible inference procedure that covers a wide range…
• Data Efficient and Weakly Supervised Computational Pathology on Whole Slide Images
  20 Apr 2020 2 repositories listed
  CLAM is a general-purpose and adaptable method that can be used for a variety of different computational pathology tasks in both clinical and research settings.
• A Spatially-Aware Multiple Instance Learning Framework for Digital Pathology
  24 Apr 2025 1 repository listed
  However, conventional MIL methods such as Attention-Based Deep Multiple Instance Learning (ABMIL) typically disregard spatial interactions among patches that are crucial to pathological diagnosis.
• MSCPT: Few-shot Whole Slide Image Classification with Multi-scale and Context-focused Prompt Tuning
  21 Aug 2024 1 repository listed Syntology ran 2 of 8 samples · 6 unverified · 8 pointer-only (licence)
  However, this paradigm relies on the use of a large number of labelled WSIs for training.
• RoFormer for Position Aware Multiple Instance Learning in Whole Slide Image Classification
  3 Oct 2023 1 repository listed
  This module can perform full self-attention with relative position encoding on patches of large and arbitrary shaped WSIs, solving the need for correlation between instances and spatial modeling of tissues.
• PDL: Regularizing Multiple Instance Learning with Progressive Dropout Layers
  19 Aug 2023 1 repository listed
  Multiple instance learning (MIL) was a weakly supervised learning approach that sought to assign binary class labels to collections of instances known as bags.
• CDUL: CLIP-Driven Unsupervised Learning for Multi-Label Image Classification
  31 Jul 2023 1 repository listed
  Using the aggregated similarity scores as the initial pseudo labels at the training stage, we propose an optimization framework to train the parameters of the classification network and refine pseudo labels for…
• CAMIL: Context-Aware Multiple Instance Learning for Cancer Detection and Subtyping in Whole Slide Images
  9 May 2023 1 repository listed
  The visual examination of tissue biopsy sections is fundamental for cancer diagnosis, with pathologists analyzing sections at multiple magnifications to discern tumor cells and their subtypes.
• Efficient subtyping of ovarian cancer histopathology whole slide images using active sampling in multiple instance learning
  17 Feb 2023 1 repository listed
  Weakly-supervised classification of histopathology slides is a computationally intensive task, with a typical whole slide image (WSI) containing billions of pixels to process.
• Easy Learning from Label Proportions
  6 Feb 2023 1 repository listed
  We consider the problem of Learning from Label Proportions (LLP), a weakly supervised classification setup where instances are grouped into "bags", and only the frequency of class labels at each bag is available.
• FastClass: A Time-Efficient Approach to Weakly-Supervised Text Classification
  11 Dec 2022 1 repository listed
  Weakly-supervised text classification aims to train a classifier using only class descriptions and unlabeled data.
• LIME: Weakly-Supervised Text Classification Without Seeds
  13 Oct 2022 1 repository listed
  With just an off-the-shelf textual entailment model, LIME outperforms recent baselines in weakly-supervised text classification and achieves state-of-the-art in 4 benchmarks.
• Label Propagation with Weak Supervision
  7 Oct 2022 1 repository listed
  Semi-supervised learning and weakly supervised learning are important paradigms that aim to reduce the growing demand for labeled data in current machine learning applications.
• Learning from Label Proportions by Learning with Label Noise
  4 Mar 2022 1 repository listed Syntology ran 1 of 20 samples · 19 unverified
  Learning from label proportions (LLP) is a weakly supervised classification problem where data points are grouped into bags, and the label proportions within each bag are observed instead of the instance-level labels.
• Weakly-Supervised Classification and Detection of Bird Sounds in the Wild.
  10 Jul 2021 1 repository listed
  It is easier to hear birds than see them, however, they still play an essential role in nature and they are excellent indicators of deteriorating environmental quality and pollution.
• Knodle: Modular Weakly Supervised Learning with PyTorch
  23 Apr 2021 1 repository listed
  Strategies for improving the training and prediction quality of weakly supervised machine learning models vary in how much they are tailored to a specific task or integrated with a specific model architecture.
• Lower-Bounded Proper Losses for Weakly Supervised Classification
  4 Mar 2021 1 repository listed
  To this end, we derive a representation theorem for proper losses in supervised learning, which dualizes the Savage representation.
• Learning Noise Transition Matrix from Only Noisy Labels via Total Variation Regularization
  4 Feb 2021 1 repository listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  To estimate the transition matrix from noisy data, existing methods often need to estimate the noisy class-posterior, which could be unreliable due to the overconfidence of neural networks.
• Interactive Weak Supervision: Learning Useful Heuristics for Data Labeling
  11 Dec 2020 1 repository listed
  Our experiments demonstrate that only a small number of feedback iterations are needed to train models that achieve highly competitive test set performance without access to ground truth training labels.
• Ontology-driven weak supervision for clinical entity classification in electronic health records
  5 Aug 2020 1 repository listed Syntology ran 2 of 2 samples · 0 unverified
  In the electronic health record, using clinical notes to identify entities such as disorders and their temporality (e.
• Discriminative Topic Mining via Category-Name Guided Text Embedding
  20 Aug 2019 1 repository listed
  We propose a new task, discriminative topic mining, which leverages a set of user-provided category names to mine discriminative topics from text corpora.
• Effective weakly supervised semantic frame induction using expression sharing in hierarchical hidden Markov models
  30 Jan 2019 1 repository listed
  We present a framework for the induction of semantic frames from utterances in the context of an adaptive command-and-control interface.

Syntology lines on 6 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.