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 61016150 of 6439 papers

TitleStatusHype
Unsupervised Cross-Domain Recognition by Identifying Compact Joint Subspaces0
Theoretic Analysis and Extremely Easy Algorithms for Domain Adaptive Feature Learning0
An LDA-based Topic Selection Approach to Language Model Adaptation for Handwritten Text Recognition0
Evaluating the Impact of Using a Domain-specific Bilingual Lexicon on the Performance of a Hybrid Machine Translation Approach0
Domain Adaptation with Filtering for Named Entity Extraction of Japanese Anime-Related Words0
Argument Mining: Extracting Arguments from Online Dialogue0
LIMSI@WMT'15 : Translation Task0
Visual Classifier Prediction by Distributional Semantic Embedding of Text Descriptions0
Belief Tracking with Stacked Relational Trees0
Translation Model Adaptation Using Genre-Revealing Text Features0
Identifying Key Concepts from EHR Notes Using Domain Adaptation0
Parser Adaptation to the Biomedical Domain without Re-Training0
Learning Timeline Difference for Text Categorization0
Personalized Machine Translation: Predicting Translational Preferences0
Adapting Coreference Resolution for Narrative Processing0
How to Avoid Unwanted Pregnancies: Domain Adaptation using Neural Network Models0
Closing the Gap: Domain Adaptation from Explicit to Implicit Discourse Relations0
A Neural Network Model for Low-Resource Universal Dependency Parsing0
JEAM: A Novel Model for Cross-Domain Sentiment Classification Based on Emotion Analysis0
Automatic Extraction of Time Expressions Accross Domains in French Narratives0
Flexible Domain Adaptation for Automated Essay Scoring Using Correlated Linear Regression0
Hierarchical Incremental Adaptation for Statistical Machine Translation0
Removing Biases from Trainable MT Metrics by Using Self-Training0
Online Domain Adaptation for Multi-Object Tracking0
Zero-Shot Domain Adaptation via Kernel Regression on the Grassmannian0
Subspace Alignment Based Domain Adaptation for RCNN Detector0
DeepFont: Identify Your Font from An ImageCode0
An embarrassingly simple approach to zero-shot learningCode0
Optimal Transport for Domain Adaptation0
Data Adaptation for Named Entity Recognition on Tweets with Features-Rich CRF0
Passive and Pervasive Use of Bilingual Dictionary in Statistical Machine Translation0
Domain Adaptation for Dependency Parsing via Self-Training0
Combining Active Learning and Partial Annotation for Domain Adaptation of a Japanese Dependency Parser0
An Iterative Similarity based Adaptation Technique for Cross-domain Text Classification0
Detecting Semantically Equivalent Questions in Online User Forums0
What's in a Domain? Analyzing Genre and Topic Differences in Statistical Machine Translation0
Learning Hidden Markov Models with Distributed State Representations for Domain Adaptation0
Tagging Performance Correlates with Author Age0
Unifying Bayesian Inference and Vector Space Models for Improved Decipherment0
Demographic Factors Improve Classification Performance0
New Transfer Learning Techniques for Disparate Label Sets0
Sentiment-Aspect Extraction based on Restricted Boltzmann Machines0
Exploring the Planet of the APEs: a Comparative Study of State-of-the-art Methods for MT Automatic Post-Editing0
Cross-lingual Transfer of Named Entity Recognizers without Parallel Corpora0
A Hassle-Free Unsupervised Domain Adaptation Method Using Instance Similarity Features0
Frame-Semantic Role Labeling with Heterogeneous Annotations0
Semantic Representations for Domain Adaptation: A Case Study on the Tree Kernel-based Method for Relation Extraction0
Event Detection and Domain Adaptation with Convolutional Neural NetworksCode0
A New PAC-Bayesian Perspective on Domain AdaptationCode0
Unsupervised domain adaption dictionary learning for visual recognition0
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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