Multi-class Classification

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

5 leaderboard tables shown for this task, 5 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

14 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.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 289 papers with code (903 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.

• SentEval: An Evaluation Toolkit for Universal Sentence Representations
  14 Mar 2018 11 repositories listed Syntology ran 6 of 8 samples · 2 unverified · 6 pointer-only (licence)
  We introduce SentEval, a toolkit for evaluating the quality of universal sentence representations.
• Evidential Deep Learning to Quantify Classification Uncertainty
  5 Jun 2018 10 repositories listed Syntology ran 4 of 5 samples · 1 unverified
  Deterministic neural nets have been shown to learn effective predictors on a wide range of machine learning problems.
• Multimodal Speech Emotion Recognition and Ambiguity Resolution
  12 Apr 2019 5 repositories listed
  In this work, we adopt a feature-engineering based approach to tackle the task of speech emotion recognition.
• Integrated Multi-omics Analysis Using Variational Autoencoders: Application to Pan-cancer Classification
  17 Aug 2019 4 repositories listed
  The training procedure of OmiVAE is comprised of an unsupervised phase without the classifier and a supervised phase with the classifier.
• Efficient Set-Valued Prediction in Multi-Class Classification
  19 Jun 2019 4 repositories listed
  In cases of uncertainty, a multi-class classifier preferably returns a set of candidate classes instead of predicting a single class label with little guarantee.
• Efficient Deep Learning for Stereo Matching
  1 Jun 2016 4 repositories listed
  In the past year, convolutional neural networks have been shown to perform extremely well for stereo estimation.
• MAPIE: an open-source library for distribution-free uncertainty quantification
  25 Jul 2022 3 repositories listed Syntology ran 1 of 16 samples · 15 unverified
  Estimating uncertainties associated with the predictions of Machine Learning (ML) models is of crucial importance to assess their robustness and predictive power.
• Exploiting Class Activation Value for Partial-Label Learning
  29 Sep 2021 3 repositories listed
  As the first contribution, we empirically show that the class activation map (CAM), a simple technique for discriminating the learning patterns of each class in images, is surprisingly better at making accurate…
• PMLB v1.0: An open source dataset collection for benchmarking machine learning methods
  30 Nov 2020 3 repositories listed Syntology ran 0 of 1 samples · 1 unverified
  Motivation: Novel machine learning and statistical modeling studies rely on standardized comparisons to existing methods using well-studied benchmark datasets.
• On the Learning Property of Logistic and Softmax Losses for Deep Neural Networks
  4 Mar 2020 3 repositories listed
  Deep convolutional neural networks (CNNs) trained with logistic and softmax losses have made significant advancement in visual recognition tasks in computer vision.
• HDLTex: Hierarchical Deep Learning for Text Classification
  24 Sep 2017 3 repositories listed
  This is because along with this growth in the number of documents has come an increase in the number of categories.
• GenSVM: A Generalized Multiclass Support Vector Machine
  30 Dec 2016 3 repositories listed
  Traditional extensions of the binary support vector machine (SVM) to multiclass problems are either heuristics or require solving a large dual optimization problem.
• Network Representation Learning with Rich Text Information
  24 Jun 2015 3 repositories listed
  Representation learning has shown its effectiveness in many tasks such as image classification and text mining.
• TabKANet: Tabular Data Modeling with Kolmogorov-Arnold Network and Transformer
  13 Sep 2024 2 repositories listed
  Tabular data is the most common type of data in real-life scenarios.
• Application of Quantum Pre-Processing Filter for Binary Image Classification with Small Samples
  28 Aug 2023 2 repositories listed
  Similar to our previous multi-class classification results, the application of QPF improved the binary image classification accuracy using neural network against MNIST, EMNIST, and CIFAR-10 from 98.
• Neuro-symbolic Rule Learning in Real-world Classification Tasks
  29 Mar 2023 2 repositories listed
  Neuro-symbolic rule learning has attracted lots of attention as it offers better interpretability than pure neural models and scales better than symbolic rule learning.
• 1st Place Solution for PSG competition with ECCV'22 SenseHuman Workshop
  6 Feb 2023 2 repositories listed
  Panoptic Scene Graph (PSG) generation aims to generate scene graph representations based on panoptic segmentation instead of rigid bounding boxes.
• Generalized Consistent Multi-Class Classification with Rejection to be Compatible with Arbitrary Losses
  1 Nov 2022 2 repositories listed
  \emph{Classification with rejection} (CwR) refrains from making a prediction to avoid critical misclassification when encountering test samples that are difficult to classify.
• VISTA: Vision Transformer enhanced by U-Net and Image Colorfulness Frame Filtration for Automatic Retail Checkout
  23 Apr 2022 2 repositories listed
  Multi-class product counting and recognition identifies product items from images or videos for automated retail checkout.
• Learning Gaussian Mixtures with Generalised Linear Models: Precise Asymptotics in High-dimensions
  7 Jun 2021 2 repositories listed
  Generalised linear models for multi-class classification problems are one of the fundamental building blocks of modern machine learning tasks.
• IoTDevID: A Behavior-Based Device Identification Method for the IoT
  17 Feb 2021 2 repositories listed
  Device identification is one way to secure a network of IoT devices, whereby devices identified as suspicious can subsequently be isolated from a network.
• Efficient Robust Optimal Transport with Application to Multi-Label Classification
  22 Oct 2020 2 repositories listed
  Optimal transport (OT) is a powerful geometric tool for comparing two distributions and has been employed in various machine learning applications.
• Deep brain state classification of MEG data
  2 Jul 2020 2 repositories listed
  The experimental results of cross subject multi-class classification on the studied MEG dataset show that the inclusion of attention improves the generalization of the models across subjects.
• sEMG Gesture Recognition with a Simple Model of Attention
  5 Jun 2020 2 repositories listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)
  Myoelectric control is one of the leading areas of research in the field of robotic prosthetics.
• Null It Out: Guarding Protected Attributes by Iterative Nullspace Projection
  16 Apr 2020 2 repositories listed Syntology ran 0 of 2 samples · 2 unverified
  The ability to control for the kinds of information encoded in neural representation has a variety of use cases, especially in light of the challenge of interpreting these models.
• Imbalance Learning for Variable Star Classification
  27 Feb 2020 2 repositories listed Syntology ran 3 of 4 samples · 1 unverified · 4 pointer-only (licence)
  In this work, we attempt to further improve hierarchical classification performance by applying 'data-level' approaches to directly augment the training data so that they better describe under-represented classes.
• Unsupervised Multi-Class Domain Adaptation: Theory, Algorithms, and Practice
  20 Feb 2020 2 repositories listed Syntology ran 2 of 7 samples · 5 unverified
  By using MCSD as a measure of domain distance, we develop a new domain adaptation bound for multi-class UDA; its data-dependent, probably approximately correct bound is also developed that naturally suggests adversarial…
• AMF: Aggregated Mondrian Forests for Online Learning
  25 Jun 2019 2 repositories listed
  Using a variant of the Context Tree Weighting algorithm, we show that it is possible to efficiently perform an exact aggregation over all prunings of the trees; in particular, this enables to obtain a truly online…
• Enhanced Network Embedding with Text Information
  29 Nov 2018 2 repositories listed
  TENE learns the representations of nodes under the guidance of both proximity matrix which captures the network structure and text cluster membership matrix derived from clustering for text information.
• Machine Learning Methods for Track Classification in the AT-TPC
  21 Oct 2018 2 repositories listed
  We evaluate machine learning methods for event classification in the Active-Target Time Projection Chamber detector at the National Superconducting Cyclotron Laboratory (NSCL) at Michigan State University.

Syntology lines on 8 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.