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 57015750 of 6439 papers

TitleStatusHype
What's in a Domain? Learning Domain-Robust Text Representations using Adversarial TrainingCode0
Discovering Domain Disentanglement for Generalized Multi-source Domain AdaptationCode0
Uncertainty-Aware Pseudo-Label Filtering for Source-Free Unsupervised Domain AdaptationCode0
Mining fine-grained opinions on closed captions of YouTube videos with an attention-RNNCode0
CEEBERT: Cross-Domain Inference in Early Exit BERTCode0
SAILOR: Scaling Anchors via Insights into Latent Object RepresentationCode0
Unsupervised Domain Adaptation using Feature-Whitening and Consensus LossCode0
DisasterNets: Embedding Machine Learning in Disaster MappingCode0
Generalization Enhancement Strategies to Enable Cross-year Cropland Mapping with Convolutional Neural Networks Trained Using Historical SamplesCode0
Direct domain adaptation through reciprocal linear transformationsCode0
Differentially Private Sliced Wasserstein DistanceCode0
CDMPP: A Device-Model Agnostic Framework for Latency Prediction of Tensor ProgramsCode0
Causality-oriented robustness: exploiting general noise interventionsCode0
Diagnosing Model Performance Under Distribution ShiftCode0
Detecting early signs of depression in the conversational domain: The role of transfer learning in low-resource scenariosCode0
Causal Embeddings for RecommendationCode0
Generalizable Image Repair for Robust Visual Autonomous RacingCode0
Augmented SBERT: Data Augmentation Method for Improving Bi-Encoders for Pairwise Sentence Scoring TasksCode0
Temporal Effects on Pre-trained Models for Language Processing TasksCode0
Demonstration of an Adversarial Attack Against a Multimodal Vision Language Model for Pathology ImagingCode0
Mixed-effects transformers for hierarchical adaptationCode0
Temporal Source Recovery for Time-Series Source-Free Unsupervised Domain AdaptationCode0
Generalised Unsupervised Domain Adaptation of Neural Machine Translation with Cross-Lingual Data SelectionCode0
Adapting Object Detectors via Selective Cross-Domain AlignmentCode0
MixMatch Domain Adaptaion: Prize-winning solution for both tracks of VisDA 2019 challengeCode0
Using Confidential Data for Domain Adaptation of Neural Machine TranslationCode0
Augmented Cyclic Adversarial Learning for Low Resource Domain AdaptationCode0
General Frameworks for Conditional Two-Sample TestingCode0
General Domain Adaptation Through Proportional Progressive Pseudo LabelingCode0
AUC-Oriented Domain Adaptation: From Theory to AlgorithmCode0
Adapting Neural Architectures Between DomainsCode0
GCAL: Adapting Graph Models to Evolving Domain ShiftsCode0
Unsupervised Domain Adaptation via Calibrating UncertaintiesCode0
Causal Domain Adaptation with Copula Entropy based Conditional Independence TestCode0
Gaze360: Physically Unconstrained Gaze Estimation in the WildCode0
Scalable Causal Domain AdaptationCode0
Adapting Machine Learning Diagnostic Models to New Populations Using a Small Amount of Data: Results from Clinical NeuroscienceCode0
MLSL: Multi-Level Self-Supervised Learning for Domain Adaptation with Spatially Independent and Semantically Consistent LabelingCode0
Detect Closer Surfaces that can be Seen: New Modeling and Evaluation in Cross-domain 3D Object DetectionCode0
M&M3D: Multi-Dataset Training and Efficient Network for Multi-view 3D Object DetectionCode0
Understanding and Measuring Psychological Stress using Social MediaCode0
Test time Adaptation through Perturbation RobustnessCode0
Demystifying Neural Style TransferCode0
MoDA: Leveraging Motion Priors from Videos for Advancing Unsupervised Domain Adaptation in Semantic SegmentationCode0
DELTA: Dual Consistency Delving with Topological Uncertainty for Active Graph Domain AdaptationCode0
Causal Direction of Data Collection Matters: Implications of Causal and Anticausal Learning for NLPCode0
Deep transfer learning method based on automatic domain alignment and moment matchingCode0
FusDom: Combining In-Domain and Out-of-Domain Knowledge for Continuous Self-Supervised LearningCode0
Using Language Models to Improve Rule-based Linguistic Annotation of Modern Historical Japanese CorporaCode0
Model Compression for Domain Adaptation through Causal Effect EstimationCode0
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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