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 62016250 of 6439 papers

TitleStatusHype
Domain Adaptation for CRF-based Chinese Word Segmentation using Free Annotations0
Semi-Supervised Chinese Word Segmentation Using Partial-Label Learning With Conditional Random Fields0
Latent Domain Phrase-based Models for Adaptation0
A Dependency Parser for Tweets0
Importance weighting and unsupervised domain adaptation of POS taggers: a negative result0
Domain adaptation of weighted majority votes via perturbed variation-based self-labeling0
Unsupervised Domain Adaptation by BackpropagationCode1
Location Recognition Over Large Time Lags0
Domain Adaptive Neural Networks for Object Recognition0
Subspace Alignment For Domain Adaptation0
Hierarchical Adaptive Structural SVM for Domain Adaptation0
Bayesian Multitask Learning with Latent Hierarchies0
Annotation Adaptation and Language Adaptation in NLP0
Class-Based Language Modeling for Translating into Morphologically Rich Languages0
Lightweight Client-Side Chinese/Japanese Morphological Analyzer Based on Online LearningCode0
Automatic Corpus Expansion for Chinese Word Segmentation by Exploiting the Redundancy of Web Information0
Fast Domain Adaptation of SMT models without in-Domain Parallel Data0
Selection Bias, Label Bias, and Bias in Ground Truth0
A Generative Model for Identifying Target Companies of Microblogs0
Combining Natural and Artificial Examples to Improve Implicit Discourse Relation Identification0
Biber Redux: Reconsidering Dimensions of Variation in American English0
Dependency Parsing: Past, Present, and Future0
Exploring Options for Fast Domain Adaptation of Dependency Parsers0
Self-Training for Parsing Learner Text0
POS error detection in automatically annotated corpora0
Integrated Tools for Query-driven Development of Light-weight Ontologies and Information Extraction Components0
UoW: Multi-task Learning Gaussian Process for Semantic Textual Similarity0
More or less supervised supersense tagging of Twitter0
Ubiq: a platform for crawling, analyzing and exploiting corpora (Ubiq : une plateforme de collecte, analyse et valorisation des corpus) [in French]0
Study of Domain Dependant Multi-Polarity Words for Document Level Opinion Mining (Influence des marqueurs multi-polaires dépendant du domaine pour la fouille d’opinion au niveau du texte) [in French]0
Topic Adaptation for the Automatic Translation of News Articles (Adaptation th\'ematique pour la traduction automatique de d\'ep\^eches de presse) [in French]0
Predicting the Future Behavior of a Time-Varying Probability Distribution0
An Empirical Comparison of Features and Tuning for Phrase-based Machine Translation0
Using Comparable Corpora to Adapt MT Models to New Domains0
Machine Translation of Medical Texts in the Khresmoi Project0
Unsupervised Adaptation for Statistical Machine Translation0
Combining Domain Adaptation Approaches for Medical Text Translation0
Domain Adaptation for Medical Text Translation using Web Resources0
Findings of the 2014 Workshop on Statistical Machine Translation0
Linear Mixture Models for Robust Machine Translation0
Robust Cross-Domain Sentiment Analysis for Low-Resource Languages0
Employing Word Representations and Regularization for Domain Adaptation of Relation Extraction0
Learning Topic Representation for SMT with Neural Networks0
Improving Citation Polarity Classification with Product Reviews0
Kneser-Ney Smoothing on Expected CountsCode0
Parser Evaluation Using Derivation Trees: A Complement to evalb0
Learning to Predict Distributions of Words Across Domains0
Fast Easy Unsupervised Domain Adaptation with Marginalized Structured Dropout0
Word Segmentation of Informal Arabic with Domain Adaptation0
Robust Domain Adaptation for Relation Extraction via Clustering Consistency0
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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