Methods › General › Domain Adaptation › DANCE

Domain Adaptative Neighborhood Clustering via Entropy Optimization

DANCE

10 papers tagged archive 2025-07-28

Introduced by Kuniaki Saito et al. in Universal Domain Adaptation through Self Supervision

archive 2025-07-28 Description, source and code snippet are the archive's method entry.

Domain Adaptive Neighborhood Clustering via Entropy Optimization (DANCE) is a self-supervised clustering method that harnesses the cluster structure of the target domain using self-supervision. This is done with a neighborhood clustering technique that self-supervises feature learning in the target. At the same time, useful source features and class boundaries are preserved and adapted with a partial domain alignment loss that the authors refer to as entropy separation loss. This loss allows the model to either match each target example with the source, or reject it as unknown.

Paper Source

Papers archive 2025-07-28

10 shown of 10, 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.

Dataset Distillers Are Good Label Denoisers In the Wild
18 Nov 2024 · 1 repository · arXiv:2411.11924

Syntology ran 7 of 19 samples · 12 unverified · 19 pointer-only (licence)
DANCE: Deep Learning-Assisted Analysis of Protein Sequences Using Chaos Enhanced Kaleidoscopic Images
10 Sep 2024 · 0 repositories · arXiv:2409.06694
Improving Commonsense in Vision-Language Models via Knowledge Graph Riddles
29 Nov 2022 · 1 repository · arXiv:2211.16504
Graph Neural Networks for Multimodal Single-Cell Data Integration
3 Mar 2022 · 1 repository · arXiv:2203.01884

Syntology ran 3 of 3 samples · 0 unverified
Domain Adaptation of Networks for Camera Pose Estimation: Learning Camera Pose Estimation Without Pose Labels
29 Nov 2021 · 1 repository · arXiv:2111.14741
DANCE: DAta-Network Co-optimization for Efficient Segmentation Model Training and Inference
16 Jul 2021 · 0 repositories · arXiv:2107.07706
More Robust Dense Retrieval with Contrastive Dual Learning
16 Jul 2021 · 1 repository · arXiv:2107.07773

Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
Decorrelating Adversarial Nets for Clustering Mobile Network Data
11 Mar 2021 · 0 repositories · arXiv:2103.08348
DANCE: Differentiable Accelerator/Network Co-Exploration
14 Sep 2020 · 0 repositories · arXiv:2009.06237
Universal Domain Adaptation through Self Supervision
19 Feb 2020 · 1 repository · arXiv:2002.07953

Tasks archive 2025-07-28

20 shown of 26 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.

Task	Papers
Clustering	2
Domain Adaptation	2
Retrieval	2
Camera Pose Estimation	1
Contrastive Learning	1
Data Augmentation	1
Data Integration	1
Dataset Distillation	1
Deep Clustering	1
Deep Learning	1
Denoising	1
Diagnostic	1
GPU	1
Graph Neural Network	1
Image Generation	1
Image-to-Image Translation	1
Information Retrieval	1
Neural Architecture Search	1
Partial Domain Adaptation	1
Pose Estimation	1

Usage over time archive 2025-07-28

Papers per year the archive tags with this method, by the paper's archive date (10 dated). Bars are counts, not a trend claim.

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

Domain Adaptation

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