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 42514300 of 6439 papers

TitleStatusHype
A General Regularization Framework for Domain Adaptation0
A General Upper Bound for Unsupervised Domain Adaptation0
A Generative Model for Identifying Target Companies of Microblogs0
Aggregate to Adapt: Node-Centric Aggregation for Multi-Source-Free Graph Domain Adaptation0
A Unified System for Aggression Identification in English Code-Mixed and Uni-Lingual Texts0
AGILE: Approach-based Grasp Inference Learned from Element Decomposition0
Agile Domain Adaptation0
AGLP: A Graph Learning Perspective for Semi-supervised Domain Adaptation0
A Gold Standard for CLIR evaluation in the Organic Agriculture Domain0
AGO-Net: Association-Guided 3D Point Cloud Object Detection Network0
AHAM: Adapt, Help, Ask, Model -- Harvesting LLMs for literature mining0
A Hassle-Free Unsupervised Domain Adaptation Method Using Instance Similarity Features0
AHMF: Adaptive Hybrid-Memory-Fusion Model for Driver Attention Prediction0
AH-OCDA: Amplitude-based Curriculum Learning and Hopfield Segmentation Model for Open Compound Domain Adaptation0
A Hybrid Approach for Automatic Extraction of Bilingual Multiword Expressions from Parallel Corpora0
A Hybrid Word Alignment Model for Phrase-Based Statistical Machine Translation0
AIDA: Legal Judgment Predictions for Non-Professional Fact Descriptions via Partial-and-Imbalanced Domain Adaptation0
AI-enabled Efficient and Safe Food Supply Chain0
AI Fairness via Domain Adaptation0
AirFi: Empowering WiFi-based Passive Human Gesture Recognition to Unseen Environment via Domain Generalization0
Air-Writing Translater: A Novel Unsupervised Domain Adaptation Method for Inertia-Trajectory Translation of In-air Handwriting0
A Joint and Domain-Adaptive Approach to Spoken Language Understanding0
A Joint Named-Entity Recognizer for Heterogeneous Tag-sets Using a Tag Hierarchy0
A Label Proportions Estimation Technique for Adversarial Domain Adaptation in Text Classification0
A Large-Scale Evaluation of Pre-editing Strategies for Improving User-Generated Content Translation0
A Learnable Self-supervised Task for Unsupervised Domain Adaptation on Point Clouds0
A Learner Corpus-based Approach to Verb Suggestion for ESL0
Algorithms and Theory for Supervised Gradual Domain Adaptation0
Alice Benchmarks: Connecting Real World Re-Identification with the Synthetic0
A Lightweight Multi-Expert Generative Language Model System for Engineering Information and Knowledge Extraction0
Aligning Correlation Information for Domain Adaptation in Action Recognition0
Aligning Hotel Embeddings using Domain Adaptation for Next-Item Recommendation0
Aligning Infinite-Dimensional Covariance Matrices in Reproducing Kernel Hilbert Spaces for Domain Adaptation0
Aligning Non-Causal Factors for Transformer-Based Source-Free Domain Adaptation0
Align, Minimize and Diversify: A Source-Free Unsupervised Domain Adaptation Method for Handwritten Text Recognition0
A Likelihood Ratio based Domain Adaptation Method for E2E Models0
Alleviating Semantic-level Shift: A Semi-supervised Domain Adaptation Method for Semantic Segmentation0
All for One, and One for All: UrbanSyn Dataset, the third Musketeer of Synthetic Driving Scenes0
A Low-Cost Neural ODE with Depthwise Separable Convolution for Edge Domain Adaptation on FPGAs0
A Manifold Approach to Learning Mutually Orthogonal Subspaces0
A market resilient data-driven approach to option pricing0
Amazon Alexa AI’s System for IWSLT 2022 Offline Speech Translation Shared Task0
A Meta-Evaluation of Faithfulness Metrics for Long-Form Hospital-Course Summarization0
AMM: Adaptive Modularized Reinforcement Model for Multi-city Traffic Signal Control0
Amplitude Spectrum Transformation for Open Compound Domain Adaptive Semantic Segmentation0
A Multi-Discriminator CycleGAN for Unsupervised Non-Parallel Speech Domain Adaptation0
A Multi-Domain Translation Model Framework for Statistical Machine Translation0
A Multilingual BPE Embedding Space for Universal Sentiment Lexicon Induction0
A Multi-Platform Annotation Ecosystem for Domain Adaptation0
A Multi-stage Framework with Mean Subspace Computation and Recursive Feedback for Online Unsupervised Domain Adaptation0
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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