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 59516000 of 6439 papers

TitleStatusHype
Frustratingly Easy Neural Domain Adaptation0
Fast Gated Neural Domain Adaptation: Language Model as a Case Study0
TextPro-AL: An Active Learning Platform for Flexible and Efficient Production of Training Data for NLP Tasks0
A Post-editing Interface for Immediate Adaptation in Statistical Machine Translation0
A Deep Fusion Model for Domain Adaptation in Phrase-based MT0
Leveraging Multiple Domains for Sentiment Classification0
Joint Learning of Local and Global Features for Entity Linking via Neural Networks0
NICT-2 Translation System for WAT2016: Applying Domain Adaptation to Phrase-based Statistical Machine Translation0
POS Tagging Experts via Topic Modeling0
Domain Adaptation and Attention-Based Unknown Word Replacement in Chinese-to-Japanese Neural Machine Translation0
Tuning Bayes Baseline for Dialect Detection0
Detecting Uncertainty Cues in Hungarian Social Media Texts0
Coursebook Texts as a Helping Hand for Classifying Linguistic Complexity in Language Learners' Writings0
Challenges and Solutions for Latin Named Entity Recognition0
Modeling non-standard language0
Domain Adaptation for Named Entity Recognition in Online Media with Word Embeddings0
Towards Accurate Word Segmentation for Chinese Patents0
Unifying Multi-Domain Multi-Task Learning: Tensor and Neural Network Perspectives0
Who's that Actor? Automatic Labelling of Actors in TV series starting from IMDB Images0
Invariant Representations for Noisy Speech Recognition0
Learning an Invariant Hilbert Space for Domain Adaptation0
Domain Adaptation by Mixture of Alignments of Second- or Higher-Order Scatter Tensors0
Exploiting Web Images for Dataset Construction: A Domain Robust Approach0
Node-Adapt, Path-Adapt and Tree-Adapt:Model-Transfer Domain Adaptation for Random Forest0
Domain Adaptation with L2 constraints for classifying images from different endoscope systems0
Unsupervised Cross-Domain Image GenerationCode2
Domain Adaptation For Formant Estimation Using Deep Learning0
Learning to Pivot with Adversarial NetworksCode0
Learning Sentence Embeddings with Auxiliary Tasks for Cross-Domain Sentiment Classification0
Bilingually-constrained Synthetic Data for Implicit Discourse Relation Recognition0
PaCCSS-IT: A Parallel Corpus of Complex-Simple Sentences for Automatic Text Simplification0
Supervised Distributional Hypernym Discovery via Domain Adaptation0
Neural Network for Heterogeneous Annotations0
Modeling Skip-Grams for Event Detection with Convolutional Neural Networks0
Automatic Features for Essay Scoring -- An Empirical Study0
A General Regularization Framework for Domain Adaptation0
Towards a continuous modeling of natural language domains0
Professor Forcing: A New Algorithm for Training Recurrent NetworksCode0
From Traditional to Modern : Domain Adaptation for Action Classification in Short Social Video Clips0
Personalized Machine Translation: Preserving Original Author Traits0
Deep Learning Prototype Domains for Person Re-Identification0
Theoretical Analysis of Domain Adaptation with Optimal Transport0
ILGNet: Inception Modules with Connected Local and Global Features for Efficient Image Aesthetic Quality Classification using Domain AdaptationCode0
Domain Adaptation with Soft-margin multiple feature-kernel learning beats Deep Learning for surveillance face recognition0
EPOpt: Learning Robust Neural Network Policies Using Model Ensembles0
Neural Structural Correspondence Learning for Domain AdaptationCode0
Kernel Selection using Multiple Kernel Learning and Domain Adaptation in Reproducing Kernel Hilbert Space, for Face Recognition under Surveillance Scenario0
Multi-domain Adaptation for Statistical Machine Translation Based on Feature Augmentation0
Adding syntactic structure to bilingual terminology for improved domain adaptation0
Dialogue manager domain adaptation using Gaussian process reinforcement learning0
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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