Online Clustering

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

1 dataset whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

28 shown of 28 papers with code (86 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.

• CrOC: Cross-View Online Clustering for Dense Visual Representation Learning
  23 Mar 2023 2 repositories listed Syntology ran 5 of 7 samples · 2 unverified
  More importantly, the clustering algorithm conjointly operates on the features of both views, thereby elegantly bypassing the issue of content not represented in both views and the ambiguous matching of objects from one…
• Twin Contrastive Learning for Online Clustering
  21 Oct 2022 2 repositories listed
  Specifically, we find that when the data is projected into a feature space with a dimensionality of the target cluster number, the rows and columns of its feature matrix correspond to the instance and cluster…
• Contrastive Clustering
  21 Sep 2020 2 repositories listed Syntology ran 2 of 7 samples · 5 unverified
  In this paper, we propose a one-stage online clustering method called Contrastive Clustering (CC) which explicitly performs the instance- and cluster-level contrastive learning.
• AN ONLINE ALGORITHM FOR CONSTRAINED FACE CLUSTERING IN VIDEOS
  6 Sep 2018 2 repositories listed
  We address the problem of face clustering in long, real world videos.
• Leave No One Behind: Online Self-Supervised Self-Distillation for Sequential Recommendation
  22 Mar 2024 1 repository listed
  Subsequently, we employ self-distillation to facilitate the transfer of knowledge from users with extensive behaviors (teachers) to users with limited behaviors (students).
• RGMComm: Return Gap Minimization via Discrete Communications in Multi-Agent Reinforcement Learning
  7 Aug 2023 1 repository listed
  This result enables us to recast multi-agent communication into a novel online clustering problem over the local observations at each agent, with messages as cluster labels and the upper bound on the return gap as…
• Boundary-Refined Prototype Generation: A General End-to-End Paradigm for Semi-Supervised Semantic Segmentation
  19 Jul 2023 1 repository listed
  In addition, to enhance the classification boundaries, we sample and cluster high- and low-confidence features separately based on confidence estimation, facilitating the generation of prototypes closer to the class…
• Grid Cell-Inspired Fragmentation and Recall for Efficient Map Building
  11 Jul 2023 1 repository listed Syntology ran 0 of 1 samples · 1 unverified
  If observations at a fracture point match observations in one of the stored local maps, that map is recalled (and thus reused) from LTM.
• DinoSR: Self-Distillation and Online Clustering for Self-supervised Speech Representation Learning
  17 May 2023 1 repository listed
  In this paper, we introduce self-distillation and online clustering for self-supervised speech representation learning (DinoSR) which combines masked language modeling, self-distillation, and online clustering.
• Hard Regularization to Prevent Deep Online Clustering Collapse without Data Augmentation
  29 Mar 2023 1 repository listed
  We propose a method that does not require data augmentation, and that, differently from existing methods, regularizes the hard assignments.
• Novel Class Discovery for 3D Point Cloud Semantic Segmentation
  21 Mar 2023 1 repository listed
  Firstly, we address the new problem of NCD for point cloud semantic segmentation.
• Probabilistic Back-ends for Online Speaker Recognition and Clustering
  19 Feb 2023 1 repository listed
  This paper focuses on multi-enrollment speaker recognition which naturally occurs in the task of online speaker clustering, and studies the properties of different scoring back-ends in this scenario.
• Online Arbitrary Shaped Clustering through Correlated Gaussian Functions
  13 Feb 2023 1 repository listed
  There is no convincing evidence that backpropagation is a biologically plausible mechanism, and further studies of alternative learning methods are needed.
• Federated Online Clustering of Bandits
  31 Aug 2022 1 repository listed
  Contextual multi-armed bandit (MAB) is an important sequential decision-making problem in recommendation systems.
• Collaborating Domain-shared and Target-specific Feature Clustering for Cross-domain 3D Action Recognition
  20 Jul 2022 1 repository listed Syntology ran 0 of 1 samples · 1 unverified · 1 pointer-only (licence)
  Furthermore, to leverage the complementarity of domain-shared features and target-specific features, we propose a novel collaborative clustering strategy to enforce pair-wise relationship consistency between the two…
• Revisiting Gaussian Neurons for Online Clustering with Unknown Number of Clusters
  2 May 2022 1 repository listed
  Despite the recent success of artificial neural networks, more biologically plausible learning methods may be needed to resolve the weaknesses of backpropagation trained models such as catastrophic forgetting and…
• Efficient Deep Embedded Subspace Clustering
  1 Jan 2022 1 repository listed
  The proposed method is out of the self-expressive framework, scales to the sample size linearly, and is applicable to arbitrarily large datasets and online clustering scenarios.
• Large-Scale Hyperspectral Image Clustering Using Contrastive Learning
  15 Nov 2021 1 repository listed
  Specifically, we exploit a symmetric twin neural network comprised of a projection head with a dimensionality of the cluster number to conduct dual contrastive learning from a spectral-spatial augmentation pool.
• Catastrophic Interference in Reinforcement Learning: A Solution Based on Context Division and Knowledge Distillation
  1 Sep 2021 1 repository listed Syntology ran 0 of 3 samples · 3 unverified
  In this paper, we present IQ, i.
• Unsupervised Action Segmentation by Joint Representation Learning and Online Clustering
  27 May 2021 1 repository listed Syntology ran 0 of 2 samples · 2 unverified
  The temporal optimal transport module enables our approach to learn effective representations for unsupervised activity segmentation.
• Unsupervised Visual Representation Learning by Online Constrained K-Means
  24 May 2021 1 repository listed Syntology ran 3 of 6 samples · 3 unverified
  Clustering is to assign each instance a pseudo label that will be used to learn representations in discrimination.
• Group-aware Label Transfer for Domain Adaptive Person Re-identification
  23 Mar 2021 1 repository listed Syntology ran 2 of 3 samples · 1 unverified · 3 pointer-only (licence)
  In this paper, we propose a Group-aware Label Transfer (GLT) algorithm, which enables the online interaction and mutual promotion of pseudo-label prediction and representation learning.
• Deep Robust Clustering by Contrastive Learning
  7 Aug 2020 1 repository listed
  Different from existing methods, DRC looks into deep clustering from two perspectives of both semantic clustering assignment and representation feature, which can increase inter-class diversities and decrease…
• Memory-Efficient Episodic Control Reinforcement Learning with Dynamic Online k-means
  21 Nov 2019 1 repository listed
  Recently, neuro-inspired episodic control (EC) methods have been developed to overcome the data-inefficiency of standard deep reinforcement learning approaches.
• Unsupervised Progressive Learning and the STAM Architecture
  3 Apr 2019 1 repository listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  We first pose the Unsupervised Progressive Learning (UPL) problem: an online representation learning problem in which the learner observes a non-stationary and unlabeled data stream, learning a growing number of…
• A real-time and unsupervised face Re-Identification system for Human-Robot Interaction
  10 Apr 2018 1 repository listed
  In this paper, we present an effective and unsupervised face Re-ID system which simultaneously re-identifies multiple faces for HRI.
• Contextual Bandit with Adaptive Feature Extraction
  3 Feb 2018 1 repository listed
  Our experiments on a variety of datasets, and both in stationary and non-stationary environments of several kinds demonstrate clear advantages of the proposed adaptive representation learning over the standard…
• Links: A High-Dimensional Online Clustering Method
  30 Jan 2018 1 repository listed
  We present a novel algorithm, called Links, designed to perform online clustering on unit vectors in a high-dimensional Euclidean space.

Syntology lines on 9 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.