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 61516200 of 6439 papers

TitleStatusHype
Translating Literary Text between Related Languages using SMT0
The Bare Necessities: Increasing Lexical Coverage for Multi-Word Domain Terms with Less Lexical Data0
Rule-based Coreference Resolution in German Historic Novels0
DCU: Using Distributional Semantics and Domain Adaptation for the Semantic Textual Similarity SemEval-2015 Task 20
Lisbon: Evaluating TurboSemanticParser on Multiple Languages and Out-of-Domain Data0
Combining Seemingly Incompatible Corpora for Implicit Semantic Role Labeling0
Deep Domain Adaptation for Describing People Based on Fine-Grained Clothing Attributes0
Beyond the Shortest Path : Unsupervised Domain Adaptation by Sampling Subspaces Along the Spline Flow0
Semi-Supervised Domain Adaptation With Subspace Learning for Visual Recognition0
Landmarks-Based Kernelized Subspace Alignment for Unsupervised Domain Adaptation0
Expanding Object Detector's Horizon: Incremental Learning Framework for Object Detection in Videos0
Classifying Tweet Level Judgements of Rumours in Social Media0
Domain-Adversarial Training of Neural NetworksCode1
Unsupervised Cross-Domain Word Representation Learning0
Domain Adaptation Extreme Learning Machines for Drift Compensation in E-nose Systems0
Robust Visual Knowledge Transfer via EDA0
Pre-reordering for Statistical Machine Translation of Non-fictional Subtitles0
Evaluation of the domain adaptation of MT systems in ACCURAT0
HimL (Health in my Language)0
Dynamic Terminology Integration Methods in Statistical Machine Translation0
Improving cross-domain dependency parsing with dependency-derived clusters0
Short Answer Grading: When Sorting Helps and When it Doesn'tCode0
Robust Morphological Tagging with Word Representations0
Continuous Adaptation to User Feedback for Statistical Machine Translation0
The Unreasonable Effectiveness of Word Representations for Twitter Named Entity Recognition0
Representation Learning Using Multi-Task Deep Neural Networks for Semantic Classification and Information Retrieval0
Unsupervised Multi-Domain Adaptation with Feature EmbeddingsCode1
The Cross-Depiction Problem: Computer Vision Algorithms for Recognising Objects in Artwork and in PhotographsCode0
Kernel Manifold AlignmentCode0
A Unified Deep Neural Network for Speaker and Language Recognition0
Real-World Font Recognition Using Deep Network and Domain Adaptation0
Towards Learning free Naive Bayes Nearest Neighbor-based Domain Adaptation0
PAC-Bayesian Theorems for Domain Adaptation with Specialization to Linear Classifiers0
Deep Transfer Network: Unsupervised Domain Adaptation0
Learning Transferable Features with Deep Adaptation NetworksCode0
Mind the Gap: Subspace based Hierarchical Domain Adaptation0
An Improvement to the Domain Adaptation Bound in a PAC-Bayesian context0
Translation Model Interpolation for Domain Adaptation in TectoMT0
Domain Adaptation for Syntactic and Semantic Dependency Parsing Using Deep Belief Networks0
A Unified Perspective on Multi-Domain and Multi-Task Learning0
Decomposition-Based Domain Adaptation for Real-World Font Recognition0
Learning unbiased features0
Domain-Adversarial Neural NetworksCode0
Unsupervised Domain Adaptation with Feature EmbeddingsCode1
Deep Domain Confusion: Maximizing for Domain InvarianceCode1
Extracting and Selecting Relevant Corpora for Domain Adaptation in MT0
Joint cross-domain classification and subspace learning for unsupervised adaptation0
Toshiba MT System Description for the WAT2014 Workshop0
Learning from a Neighbor: Adapting a Japanese Parser for Korean Through Feature Transfer Learning0
Joint Emotion Analysis via Multi-task Gaussian Processes0
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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