SOTAVerified

Domain Adaptation

Domain Adaptation is the task of adapting models across domains. This is motivated by the challenge where the test and training datasets fall from different data distributions due to some factor. Domain adaptation aims to build machine learning models that can be generalized into a target domain and dealing with the discrepancy across domain distributions.

Further readings:

( Image credit: Unsupervised Image-to-Image Translation Networks )

Papers

Showing 27512800 of 6439 papers

TitleStatusHype
Revisiting Simple Domain Adaptation Methods in Unsupervised Neural Machine Translation0
Addressing Slot-Value Changes in Task-oriented Dialogue Systems through Dialogue Domain Adaptation0
AdaDepth: Unsupervised Content Congruent Adaptation for Depth Estimation0
Accurate Unsupervised Joint Named-Entity Extraction from Unaligned Parallel Text0
Robust Emotion Recognition via Bi-Level Self-Supervised Continual Learning0
1st Place Solution for Waymo Open Dataset Challenge -- 3D Detection and Domain Adaptation0
Domain Adaptation and Instance Selection for Disease Syndrome Classification over Veterinary Clinical Notes0
Domain Adaptation and Image Classification via Deep Conditional Adaptation Network0
Domain Adaptation and Generalization on Functional Medical Images: A Systematic Survey0
Domain Adaptation and Attention-Based Unknown Word Replacement in Chinese-to-Japanese Neural Machine Translation0
An Empirical Investigation of Domain Adaptation Ability for Chinese Spelling Check Models0
Domain Adaptation and Active Learning for Fine-Grained Recognition in the Field of Biodiversity0
Calibrating Class Weights with Multi-Modal Information for Partial Video Domain Adaptation0
Domain-Adaptable Hybrid Generation of RDF Entity Descriptions0
Calibrated Prediction with Covariate Shift via Unsupervised Domain Adaptation0
An Empirical Investigation of Domain Generalization with Empirical Risk Minimizers0
Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation0
Calibrated Diverse Ensemble Entropy Minimization for Robust Test-Time Adaptation in Prostate Cancer Detection0
An Empirical Evaluation of Noise Contrastive Estimation for the Neural Network Joint Model of Translation0
DoCoGen: Domain Counterfactual Generation for Low Resource Domain Adaptation0
Δ-Patching: A Framework for Rapid Adaptation of Pre-trained Convolutional Networks without Base Performance Loss0
D-MASTER: Mask Annealed Transformer for Unsupervised Domain Adaptation in Breast Cancer Detection from Mammograms0
An Empirical Comparison of Simple Domain Adaptation Methods for Neural Machine Translation0
Addressing materials' microstructure diversity using transfer learning0
CAFA: Class-Aware Feature Alignment for Test-Time Adaptation0
Divide, Ensemble and Conquer: The Last Mile on Unsupervised Domain Adaptation for Semantic Segmentation0
An Empirical Comparison of Features and Tuning for Phrase-based Machine Translation0
Diversify, Don't Fine-Tune: Scaling Up Visual Recognition Training with Synthetic Images0
Diversify and Match: A Domain Adaptive Representation Learning Paradigm for Object Detection0
CAD-DA: Controllable Anomaly Detection after Domain Adaptation by Statistical Inference0
An Empirical Comparison of Domain Adaptation Methods for Neural Machine Translation0
Diversified Augmentation with Domain Adaptation for Debiased Video Temporal Grounding0
BUT System for the MLC-SLM Challenge0
Distribution Regularized Self-Supervised Learning for Domain Adaptation of Semantic Segmentation0
Distribution Matching Prototypical Network for Unsupervised Domain Adaptation0
Burn After Reading: Online Adaptation for Cross-domain Streaming Data0
Bures Joint Distribution Alignment with Dynamic Margin for Unsupervised Domain Adaptation0
An Empirical and Comparative Analysis of Data Valuation with Scalable Algorithms0
Addressing Domain Adaptation for Chinese Word Segmentation with Global Recurrent Structure0
A Cycle GAN Approach for Heterogeneous Domain Adaptation in Land Use Classification0
Distributionally Robust Learning for Unsupervised Domain Adaptation0
Learning Calibrated Uncertainties for Domain Shift: A Distributionally Robust Learning Approach0
Building Multiword Expressions Bilingual Lexicons for Domain Adaptation of an Example-Based Machine Translation System0
Distributionally Robust Domain Adaptation0
Building Manufacturing Deep Learning Models with Minimal and Imbalanced Training Data Using Domain Adaptation and Data Augmentation0
An Empirical Analysis of Domain Adaptation Algorithms for Genomic Sequence Analysis0
Distinguish Then Exploit: Source-free Open Set Domain Adaptation via Weight Barcode Estimation and Sparse Label Assignment0
Distinguishing Clinical Sentiment: The Importance of Domain Adaptation in Psychiatric Patient Health Records0
Building Foundations for Natural Language Processing of Historical Turkish: Resources and Models0
Addressing Distribution Shift at Test Time in Pre-trained Language Models0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1FFTATAverage Accuracy96Unverified
2PMTransAverage Accuracy95.3Unverified
3CMKDAverage Accuracy94.4Unverified
4SSRT-B (ours)Average Accuracy93.5Unverified
5CDTransAverage Accuracy92.6Unverified
6CoViAverage Accuracy91.8Unverified
7GSDEAverage Accuracy91.7Unverified
8FixBiAverage Accuracy91.4Unverified
9Contrastive Adaptation NetworkAverage Accuracy90.6Unverified
10BIWAAAverage Accuracy90.5Unverified
#ModelMetricClaimedVerifiedStatus
1HALOmIoU78.1Unverified
2ILM-ASSLmIoU76.6Unverified
3DCFmIoU69.3Unverified
4HRDA+PiPamIoU68.2Unverified
5MICmIoU67.3Unverified
6FREDOM - TransformermIoU67Unverified
7HRDAmIoU65.8Unverified
8SePiComIoU64.3Unverified
9MIC + Guidance TrainingmIoU63.8Unverified
10DAFormer + ProCSTmIoU61.6Unverified
#ModelMetricClaimedVerifiedStatus
1HALOmIoU77.8Unverified
2DCFmIoU77.7Unverified
3ILM-ASSLmIoU76.1Unverified
4MICmIoU75.9Unverified
5HRDA+PiPamIoU75.6Unverified
6HRDAmIoU73.8Unverified
7FREDOM - TransformermIoU73.6Unverified
8HALOmIoU73.3Unverified
9SePiComIoU70.3Unverified
10DAFormer + ProCSTmIoU69.4Unverified
#ModelMetricClaimedVerifiedStatus
1SWGAccuracy92.3Unverified
2RCLAccuracy90Unverified
3PGA (ViT-L/14)Accuracy89.4Unverified
4PMTransAccuracy89Unverified
5CMKDAccuracy89Unverified
6MICAccuracy86.2Unverified
7PGA (ViT-B/16)Accuracy85.1Unverified
8ELSAccuracy84.6Unverified
9SDAT (ViT-B/16)Accuracy84.3Unverified
10CDTrans (DeiT-B)Accuracy80.5Unverified
#ModelMetricClaimedVerifiedStatus
1FFTATAccuracy93.8Unverified
2RCLAccuracy93.2Unverified
3MICAccuracy92.8Unverified
4SWGAccuracy92.7Unverified
5CMKDAccuracy91.8Unverified
6DePTAccuracy90.7Unverified
7SDAT(ViT)Accuracy89.8Unverified
8SFDA2++Accuracy89.6Unverified
9PMtransAccuracy88.8Unverified
10CoViAccuracy88.5Unverified
#ModelMetricClaimedVerifiedStatus
1CMKDAccuracy94.3Unverified
2MCC+NWDAccuracy90.7Unverified
3GLOT-DRAccuracy90.4Unverified
4SPLAccuracy90.3Unverified
5DFA-SAFNAccuracy90.2Unverified
6DADAAccuracy89.3Unverified
7DFA-ENTAccuracy89.1Unverified
8MEDMAccuracy88.9Unverified
9DDAAccuracy88.9Unverified
10IAFN+ENTAccuracy88.9Unverified
#ModelMetricClaimedVerifiedStatus
1SoRAmIoU78.8Unverified
2ReinmIoU77.6Unverified
3CoDAmIoU72.6Unverified
4Refign (HRDA)mIoU72.1Unverified
5HALOmIoU71.9Unverified
6MICmIoU70.4Unverified
7HRDAmIoU68Unverified
8Refign (DAFormer)mIoU65.5Unverified
9VBLC (DAFormer)mIoU64.2Unverified
10CMFormermIoU60.1Unverified
#ModelMetricClaimedVerifiedStatus
1FACTAccuracy98.8Unverified
2FAMCDAccuracy98.72Unverified
3DFA-MCDAccuracy98.6Unverified
4Mean teacherAccuracy98.26Unverified
5DRANetAccuracy98.2Unverified
6SHOTAccuracy98Unverified
7DFA-ENTAccuracy97.9Unverified
8CyCleGAN (Light-weight Calibrator)Accuracy97.1Unverified