Methods › General › Self-Supervised Learning › SwAV
Swapping Assignments between Views
SwAV
Introduced by Mathilde Caron et al. in Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
SwaV, or Swapping Assignments Between Views, is a self-supervised learning approach that takes advantage of contrastive methods without requiring to compute pairwise comparisons. Specifically, it simultaneously clusters the data while enforcing consistency between cluster assignments produced for different augmentations (or views) of the same image, instead of comparing features directly as in contrastive learning. Simply put, SwaV uses a swapped prediction mechanism where we predict the cluster assignment of a view from the representation of another view.
Papers archive 2025-07-28
30 shown of 55, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.
-
Analyzing Breast Cancer Survival Disparities by Race and Demographic Location: A Survival Analysis Approach 8 Jun 2025 · 0 repositories · arXiv:2506.07191
-
Enhancing Federated Survival Analysis through Peer-Driven Client Reputation in Healthcare 22 May 2025 · 0 repositories · arXiv:2505.16190
-
Is Self-Supervised Pre-training on Satellite Imagery Better than ImageNet? A Systematic Study with Sentinel-2 15 Feb 2025 · 0 repositories · arXiv:2502.10669
-
Self-Supervised Frameworks for Speaker Verification via Bootstrapped Positive Sampling 29 Jan 2025 · 1 repository · arXiv:2501.17772
-
Tackling Small Sample Survival Analysis via Transfer Learning: A Study of Colorectal Cancer Prognosis 21 Jan 2025 · 1 repository · arXiv:2501.12421
-
Prediction of Lung Metastasis from Hepatocellular Carcinoma using the SEER Database 20 Jan 2025 · 1 repository · arXiv:2501.11720
-
Diagnosis and Severity Assessment of Ulcerative Colitis using Self Supervised Learning 9 Dec 2024 · 0 repositories · arXiv:2412.07806
-
SEER: Self-Aligned Evidence Extraction for Retrieval-Augmented Generation 15 Oct 2024 · 0 repositories · arXiv:2410.11315
-
Efficient Preference-based Reinforcement Learning via Aligned Experience Estimation 29 May 2024 · 0 repositories · arXiv:2405.18688
-
Self-Supervised Multiple Instance Learning for Acute Myeloid Leukemia Classification 8 Mar 2024 · 0 repositories · arXiv:2403.05379
-
SEER: Facilitating Structured Reasoning and Explanation via Reinforcement Learning 24 Jan 2024 · 1 repository · arXiv:2401.13246Syntology ran 13 of 16 samples · 3 unverified · 1 pointer-only (licence)
-
Survival Analysis of Young Triple-Negative Breast Cancer Patients 15 Jan 2024 · 0 repositories · arXiv:2401.08712
-
Enhancing Contrastive Learning with Efficient Combinatorial Positive Pairing 11 Jan 2024 · 0 repositories · arXiv:2401.05730
-
Feature Extraction for Generative Medical Imaging Evaluation: New Evidence Against an Evolving Trend 22 Nov 2023 · 2 repositories · arXiv:2311.13717
-
SEER : A Knapsack approach to Exemplar Selection for In-Context HybridQA 10 Oct 2023 · 1 repository · arXiv:2310.06675Syntology ran 6 of 16 samples · 10 unverified
-
SEER: Super-Optimization Explorer for HLS using E-graph Rewriting with MLIR 15 Aug 2023 · 0 repositories · arXiv:2308.07654
-
The Role of Entropy and Reconstruction in Multi-View Self-Supervised Learning 20 Jul 2023 · 1 repository · arXiv:2307.10907Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)
-
Semi-supervised learning made simple with self-supervised clustering 13 Jun 2023 · 1 repository · arXiv:2306.07483Syntology ran 2 of 5 samples · 3 unverified · 5 pointer-only (licence)
-
Hiding in Plain Sight: Disguising Data Stealing Attacks in Federated Learning 5 Jun 2023 · 2 repositories · arXiv:2306.03013
-
Using Spatio-Temporal Dual-Stream Network with Self-Supervised Learning for Lung Tumor Classification on Radial Probe Endobronchial Ultrasound Video 4 May 2023 · 0 repositories · arXiv:2305.02719
-
In-Distribution and Out-of-Distribution Self-supervised ECG Representation Learning for Arrhythmia Detection 13 Apr 2023 · 0 repositories · arXiv:2304.06427
-
Towards domain-invariant Self-Supervised Learning with Batch Styles Standardization 10 Mar 2023 · 0 repositories · arXiv:2303.06088
-
Towards a Unified Theoretical Understanding of Non-contrastive Learning via Rank Differential Mechanism 4 Mar 2023 · 1 repository · arXiv:2303.02387Syntology ran 2 of 2 samples · 0 unverified
-
Perfect is the enemy of test oracle 3 Feb 2023 · 1 repository · arXiv:2302.01488
-
Leveraging the Third Dimension in Contrastive Learning 27 Jan 2023 · 0 repositories · arXiv:2301.11790
-
A Simple Recipe for Competitive Low-compute Self supervised Vision Models 23 Jan 2023 · 0 repositories · arXiv:2301.09451
-
Joint Self-Supervised Image-Volume Representation Learning with Intra-Inter Contrastive Clustering 4 Dec 2022 · 0 repositories · arXiv:2212.01893
-
How Well Do Unsupervised Learning Algorithms Model Human Real-time and Life-long Learning? 1 Nov 2022 · 1 repository
-
The Hidden Uniform Cluster Prior in Self-Supervised Learning 13 Oct 2022 · 1 repository · arXiv:2210.07277
-
Effective Self-supervised Pre-training on Low-compute Networks without Distillation 6 Oct 2022 · 1 repository · arXiv:2210.02808Syntology ran 3 of 9 samples · 6 unverified
Tasks archive 2025-07-28
20 shown of 92 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
Usage over time archive 2025-07-28
Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).
Categories archive 2025-07-28
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections