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 13011350 of 6439 papers

TitleStatusHype
Detecting Cross-Lingual Semantic Divergence for Neural Machine Translation0
Channel-Temporal Attention for First-Person Video Domain Adaptation0
Channel adversarial training for cross-channel text-independent speaker recognition0
Channel Adaptation for Speaker Verification Using Optimal Transport with Pseudo Label0
Challenges and Solutions for Latin Named Entity Recognition0
A No-Free-Lunch Theorem for MultiTask Learning0
A Domain Adaptation Framework for Speech Recognition Systems with Only Synthetic data0
An Offline Mobile Conversational Agent for Mental Health Support: Learning from Emotional Dialogues and Psychological Texts with Student-Centered Evaluation0
AdapNMT : Neural Machine Translation with Technical Domain Adaptation for Indic Languages0
Annotator: A Generic Active Learning Baseline for LiDAR Semantic Segmentation0
Certainty and Uncertainty Guided Active Domain Adaptation0
ADMP: An Adversarial Double Masks Based Pruning Framework For Unsupervised Cross-Domain Compression0
Dense Retrieval Adaptation using Target Domain Description0
centroIDA: Cross-Domain Class Discrepancy Minimization Based on Accumulative Class-Centroids for Imbalanced Domain Adaptation0
Annotation Adaptation and Language Adaptation in NLP0
ADL-ID: Adversarial Disentanglement Learning for Wireless Device Fingerprinting Temporal Domain Adaptation0
Center Loss Regularization for Continual Learning0
CellTranspose: Few-shot Domain Adaptation for Cellular Instance Segmentation0
An LDA-based Topic Selection Approach to Language Model Adaptation for Handwritten Text Recognition0
A Chebyshev Confidence Guided Source-Free Domain Adaptation Framework for Medical Image Segmentation0
An Iterative Similarity based Adaptation Technique for Cross-domain Text Classification0
Robust Emotion Recognition via Bi-Level Self-Supervised Continual Learning0
CEIA: CLIP-Based Event-Image Alignment for Open-World Event-Based Understanding0
An Investigation on Applying Acoustic Feature Conversion to ASR of Adult and Child Speech0
ADLDA: A Method to Reduce the Harm of Data Distribution Shift in Data Augmentation0
CDS: Cross-Domain Self-Supervised Pre-Training0
An introduction to domain adaptation and transfer learning0
Forward-Backward Splitting for Optimal Transport based Problems0
An Intelligent Gearbox Fault Diagnosis under Different Operating Conditions using Adversarial Domain Adaptation0
DeMIAN: Deep Modality Invariant Adversarial Network0
CDA: Contrastive-adversarial Domain Adaptation0
Integrating Pre-Trained Speech and Language Models for End-to-End Speech Recognition0
Causal Mechanism Transfer Network for Time Series Domain Adaptation in Mechanical Systems0
On the Generalization for Transfer Learning: An Information-Theoretic Analysis0
AdAM: Few-Shot Image Generation via Adaptation-Aware Kernel Modulation0
Demographic Factors Improve Classification Performance0
Causal Inference Isn't Special: Why It's Just Another Prediction Problem0
Causal Generative Domain Adaptation Networks0
An Inductive Transfer Learning Approach using Cycle-consistent Adversarial Domain Adaptation with Application to Brain Tumor Segmentation0
Causal Embeddings for Recommendation: An Extended Abstract0
A Dependency Parser for Tweets0
Bias and Generalizability of Foundation Models across Datasets in Breast Mammography0
Causal Effect Variational Autoencoder with Uniform Treatment0
An Improvement to the Domain Adaptation Bound in a PAC-Bayesian context0
Ani-GIFs: A benchmark dataset for domain generalization of action recognition from GIFs0
Causal Disentanglement Hidden Markov Model for Fault Diagnosis0
Causal Discovery Inspired Unsupervised Domain Adaptation for Emotion-Cause Pair Extraction0
De l'extraction des interactions m\'edicament-m\'edicament vers les interactions aliment-m\'edicament \`a partir de textes biom\'edicaux: Adaptation de domaine (From the extraction of drug-drug interactions to the food-drug interactions in biomedical texts : domain adaptation)0
DemoSG: Demonstration-enhanced Schema-guided Generation for Low-resource Event Extraction0
Density Matters: Improved Core-set for Active Domain Adaptive Segmentation0
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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