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 24012450 of 6439 papers

TitleStatusHype
Coursebook Texts as a Helping Hand for Classifying Linguistic Complexity in Language Learners' Writings0
Coupling Adversarial Learning with Selective Voting Strategy for Distribution Alignment in Partial Domain Adaptation0
AU-Aware Vision Transformers for Biased Facial Expression Recognition0
Coupled Support Vector Machines for Supervised Domain Adaptation0
A Two-Step Learning Method For Detecting Landmarks on Faces From Different Domains0
A Cross-Domain Few-Shot Learning Method Based on Domain Knowledge Mapping0
Focus on Semantic Consistency for Cross-domain Crowd Understanding0
Coupled End-to-End Transfer Learning With Generalized Fisher Information0
Counterfactual Self-Training0
A Two-Step Framework for Multi-Material Decomposition of Dual Energy Computed Tomography from Projection Domain0
Counterfactual Evaluation of Ads Ranking Models through Domain Adaptation0
COT: Unsupervised Domain Adaptation With Clustering and Optimal Transport0
A Two-Stage Weighting Framework for Multi-Source Domain Adaptation0
Adversarial Training for Cross-Domain Universal Dependency Parsing0
Focus on Your Target: A Dual Teacher-Student Framework for Domain-adaptive Semantic Segmentation0
Frame-Semantic Role Labeling with Heterogeneous Annotations0
A Two-stage Approach for Extending Event Detection to New Types via Neural Networks0
Co-training for On-board Deep Object Detection0
AstroLLaMA: Towards Specialized Foundation Models in Astronomy0
Co-Training for Domain Adaptation0
Adversarial Training Based Multi-Source Unsupervised Domain Adaptation for Sentiment Analysis0
Collaborative Multi-source Domain Adaptation Through Optimal Transport0
Cost Weighting for Neural Machine Translation Domain Adaptation0
A contribution to Optimal Transport on incomparable spaces0
Cost-Effective Training in Low-Resource Neural Machine Translation0
Cost-Effective Training in Low-Resource Neural Machine Translation0
Adversarial Teacher-Student Learning for Unsupervised Domain Adaptation0
Fluid Annotation: A Granularity-aware Annotation Tool for Chinese Word Fluidity0
Focused training sets to reduce noise in NER feature models0
Cost-Effective Incentive Allocation via Structured Counterfactual Inference0
Flow Graph Corpus from Recipe Texts0
Adversarial Support Alignment0
Attentive Temporal Pooling for Conformer-based Streaming Language Identification in Long-form Speech0
FlowerTune: A Cross-Domain Benchmark for Federated Fine-Tuning of Large Language Models0
COSMOS: Cross-Modality Unsupervised Domain Adaptation for 3D Medical Image Segmentation based on Target-aware Domain Translation and Iterative Self-Training0
Attentive Continuous Generative Self-training for Unsupervised Domain Adaptive Medical Image Translation0
COSMIC: Data Efficient Instruction-tuning For Speech In-Context Learning0
Adapting Off-the-Shelf Source Segmenter for Target Medical Image Segmentation0
Focusing Annotation for Semantic Role Labeling0
Correlation-aware Adversarial Domain Adaptation and Generalization0
Attention Regularized Laplace Graph for Domain Adaptation0
Attention-Guided Autoencoder for Automated Progression Prediction of Subjective Cognitive Decline with Structural MRI0
Adversarial Soft Prompt Tuning for Cross-Domain Sentiment Analysis0
Unsupervised Domain Adaptation via Regularized Conditional Alignment0
Correlated Adversarial Joint Discrepancy Adaptation Network0
Correction Focused Language Model Training for Speech Recognition0
Attention Bridging Network for Knowledge Transfer0
Corpus Synthesis for Zero-shot ASR domain Adaptation using Large Language Models0
Corpus-based Interpretation of Instructions in Virtual Environments0
Attention-based Domain Adaption Using Transfer Learning for Part-of-Speech Tagging: An Experiment on the Hindi language0
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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