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
IMPaCT GNN: Imposing invariance with Message Passing in Chronological split Temporal Graphs0
Implementing a Portable Clinical NLP System with a Common Data Model - a Lisp Perspective0
Implicit Bayes Adaptation: A Collaborative Transport Approach0
Implicit Task-Driven Probability Discrepancy Measure for Unsupervised Domain Adaptation0
Importance Weighted Adversarial Nets for Partial Domain Adaptation0
Importance weighting and unsupervised domain adaptation of POS taggers: a negative result0
A Dual-Purpose Deep Learning Model for Auscultated Lung and Tracheal Sound Analysis Based on Mixed Set Training0
Improved Factorized Neural Transducer Model For text-only Domain Adaptation0
Improved Generalization of Arabic Text Classifiers0
Improved Knowledge Transfer for Semi-Supervised Domain Adaptation via Trico Training Strategy0
Improved Multi-Source Domain Adaptation by Preservation of Factors0
Improved Parsing and POS Tagging Using Inter-Sentence Consistency Constraints0
Frustratingly Easy Uncertainty Estimation for Distribution Shift0
Improvement of Applicability in Student Performance Prediction Based on Transfer Learning0
Improve Neural Entity Recognition via Multi-Task Data Selection and Constrained Decoding0
Improve Unsupervised Domain Adaptation with Mixup Training0
Improved Techniques for Adversarial Discriminative Domain Adaptation0
Improving Automated Program Repair with Domain Adaptation0
Improving both domain robustness and domain adaptability in machine translation0
Improving Cause-of-Death Classification from Verbal Autopsy Reports0
Improving Citation Polarity Classification with Product Reviews0
Improving colonoscopy lesion classification using semi-supervised deep learning0
Improving cross-domain dependency parsing with dependency-derived clusters0
Improving Distortion Robustness of Self-supervised Speech Processing Tasks with Domain Adaptation0
Improving Document-Level Neural Machine Translation with Domain Adaptation0
Improving Domain Adaptation for Machine Translation withTranslation Pieces0
Improving Domain Adaptation Through Class Aware Frequency Transformation0
Improving Domain Adaptation through Extended-Text Reading Comprehension0
Improving Domain Adaptation Translation with Domain Invariant and Specific Information0
Improving Domain Generalization on Gaze Estimation via Branch-out Auxiliary Regularization0
Improving domain-specific SMT for low-resourced languages using data from different domains0
Improving Few-Shot User-Specific Gaze Adaptation via Gaze Redirection Synthesis0
Improving Generalization of Hate Speech Detection Systems to Novel Target Groups via Domain Adaptation0
HD Maps are Lane Detection Generalizers: A Novel Generative Framework for Single-Source Domain Generalization0
Improving Λ Signal Extraction with Domain Adaptation via Normalizing Flows0
Improving MT System Using Extracted Parallel Fragments of Text from Comparable Corpora0
Improving Multilingual Neural Machine Translation System for Indic Languages0
Improving Multi-turn Task Completion in Task-Oriented Dialog Systems via Prompt Chaining and Fine-Grained Feedback0
Improving Neural Machine Translation Robustness via Data Augmentation: Beyond Back Translation0
Improving Online Source-free Domain Adaptation for Object Detection by Unsupervised Data Acquisition0
Improving Out-of-Domain Robustness with Targeted Augmentation in Frequency and Pixel Spaces0
Improving Road Segmentation in Challenging Domains Using Similar Place Priors0
Improving Robustness and Generality of NLP Models Using Disentangled Representations0
Improving Source-Free Target Adaptation with Vision Transformers Leveraging Domain Representation Images0
Improving Speaker-independent Speech Emotion Recognition Using Dynamic Joint Distribution Adaptation0
Improving speech recognition models with small samples for air traffic control systems0
Improving the Domain Adaptation of Retrieval Augmented Generation (RAG) Models for Open Domain Question Answering0
Improving the Performance of an Example-Based Machine Translation System Using a Domain-specific Bilingual Lexicon0
Improving the Quality Trade-Off for Neural Machine Translation Multi-Domain Adaptation0
Improving Translation of Out Of Vocabulary Words using Bilingual Lexicon Induction in Low-Resource Machine Translation0
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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