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Domain Adaptation

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하위 태스크: 13
평가표: 58
보존된 평가 기록: 391

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:

A Brief Review of Domain Adaptation

<span style="color:grey; opacity: 0.6">( Image credit: Unsupervised Image-to-Image Translation Networks )</span>

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/hkust-knowcomp/pseudoreasoner

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PseudoReasoner: Leveraging Pseudo Labels for Commonsense Knowledge Base Population

https://github.com/hkust-nlp/universal_truthfulness_hyperplane

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On the Universal Truthfulness Hyperplane Inside LLMs

https://github.com/hliulab/scadadrug

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Towards generalization of drug response prediction to single cells and patients utilizing importance-aware multi-source domain transfer learning

https://github.com/hlwang1124/AAFramework

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We Learn Better Road Pothole Detection: from Attention Aggregation to Adversarial Domain Adaptation

https://github.com/hlzhang109/ddg

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Towards Principled Disentanglement for Domain Generalization

https://github.com/hmrc-ael/tridentadapt

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TridentAdapt: Learning Domain-invariance via Source-Target Confrontation and Self-induced Cross-domain Augmentation

https://github.com/hnuzhy/ssda-yolo

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SSDA-YOLO: Semi-supervised Domain Adaptive YOLO for Cross-Domain Object Detection

https://github.com/hongbin98/proca

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Prototype-Guided Continual Adaptation for Class-Incremental Unsupervised Domain Adaptation

https://github.com/honghanh2104/t2a-think-twice-before-adaptation

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Think Twice before Adaptation: Improving Adaptability of DeepFake Detection via Online Test-Time Adaptation

https://github.com/hongyouc/idol

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Gradual Domain Adaptation without Indexed Intermediate Domains

https://github.com/hongzhouyu/finemed

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FineMedLM-o1: Enhancing the Medical Reasoning Ability of LLM from Supervised Fine-Tuning to Test-Time Training

https://github.com/hopoolinz/daot

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DAOT: Domain-Agnostically Aligned Optimal Transport for Domain-Adaptive Crowd Counting

https://github.com/hosseinshn/DGSML

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Domain Generalization via Semi-supervised Meta Learning

https://github.com/hou-yz/DA_visualization

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Visualizing Adapted Knowledge in Domain Transfer

https://github.com/houtan-ghaffari/SSCCSLR

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An Efficient Method for the Classification of Croplands in Scarce-Label Regions

https://github.com/hpzhang94/DomainSum

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DomainSum: A Hierarchical Benchmark for Fine-Grained Domain Shift in Abstractive Text Summarization

https://github.com/hq-deng/AnoVL

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Bootstrap Fine-Grained Vision-Language Alignment for Unified Zero-Shot Anomaly Localization

https://github.com/hritam-98/gfda-disentangled

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Semi-supervised Domain Adaptive Medical Image Segmentation through Consistency Regularized Disentangled Contrastive Learning

https://github.com/hrlblab/IRS

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IRS: Incremental Relationship-guided Segmentation for Digital Pathology

https://github.com/hrlblab/layer_segmentation

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Cross-Species Data Integration for Enhanced Layer Segmentation in Kidney Pathology

https://github.com/hsaest/quert

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QUERT: Continual Pre-training of Language Model for Query Understanding in Travel Domain Search

https://github.com/hsinyilin19/discriminator-constrained-optimal-transport-network

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Unsupervised Noise Adaptive Speech Enhancement by Discriminator-Constrained Optimal Transport

https://github.com/hsqmlzno1/Transferable-E2E-ABSA

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Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning

https://github.com/hthieu166/petta

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Persistent Test-time Adaptation in Recurring Testing Scenarios

https://github.com/hualizhou167/KunquDB

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KunquDB: An Attempt for Speaker Verification in the Chinese Opera Scenario

https://github.com/huanghoujing/EANet

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EANet: Enhancing Alignment for Cross-Domain Person Re-identification

https://github.com/huanranchen/ASRNorm

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AFN: Adaptive Fusion Normalization via an Encoder-Decoder Framework

https://github.com/huawei-noah/federated-learning

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Understanding Hessian Alignment for Domain Generalization

https://github.com/huaxiuyao/TALLY

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Multi-Domain Long-Tailed Learning by Augmenting Disentangled Representations

https://github.com/huaxiuyao/wild-time

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Wild-Time: A Benchmark of in-the-Wild Distribution Shift over Time

https://github.com/hubbs-lab-tamu/couple-stress-detection

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A few-shot learning approach with domain adaptation for personalized real-life stress detection in close relationships

https://github.com/huggingface/transformers

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Improving the Domain Adaptation of Retrieval Augmented Generation (RAG) Models for Open Domain Question Answering

https://github.com/hugo-oliveira/CoDAGANs

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Truly Generalizable Radiograph Segmentation with Conditional Domain Adaptation

https://github.com/huiqianli/asps

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ASPS: Augmented Segment Anything Model for Polyp Segmentation

https://github.com/huitangtang/DADA-AAAI2020

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Discriminative Adversarial Domain Adaptation

https://github.com/huitangtang/H-SRDC

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Towards Uncovering the Intrinsic Data Structures for Unsupervised Domain Adaptation using Structurally Regularized Deep Clustering

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