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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/tim-learn/Dis-tune

공식 코드

DINE: Domain Adaptation from Single and Multiple Black-box Predictors

https://github.com/tim-learn/SHOT

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Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation

https://github.com/tim-learn/SHOT-plus

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Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer

https://github.com/tim-learn/atdoc

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Domain Adaptation with Auxiliary Target Domain-Oriented Classifier

https://github.com/tim-learn/awesome-test-time-adaptation

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A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts

https://github.com/tim-learn/dine

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DINE: Domain Adaptation from Single and Multiple Black-box Predictors

https://github.com/tim-learn/geonet23_casia_tim

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Self-training solutions for the ICCV 2023 GeoNet Challenge

https://github.com/timbervision/timbervision

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TimberVision: A Multi-Task Dataset and Framework for Log-Component Segmentation and Tracking in Autonomous Forestry Operations

https://github.com/timgaripov/asa

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Adversarial Support Alignment

https://github.com/timtimchang/smile

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SMILE: Sequence-to-Sequence Domain Adaption with Minimizing Latent Entropy for Text Image Recognition

https://github.com/tingz123/fha-kitchens

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Multi-Granularity Hand Action Detection

https://github.com/tjunlp-lab/pckmt

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Efficient Cluster-Based k-Nearest-Neighbor Machine Translation

https://github.com/tjy1423317192/PLF

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Less is More: Pseudo-Label Filtering for Continual Test-Time Adaptation

https://github.com/tl-uestc/bi-aten

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Agile Multi-Source-Free Domain Adaptation

https://github.com/tl-uestc/unimos

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Split to Merge: Unifying Separated Modalities for Unsupervised Domain Adaptation

https://github.com/tmlr-group/zs-ntta

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Noisy Test-Time Adaptation in Vision-Language Models

https://github.com/tntek/N2DCX

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Nearest Neighborhood-Based Deep Clustering for Source Data-absent Unsupervised Domain Adaptation

https://github.com/tntek/source-free-domain-adaptation

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Source-Free Domain Adaptation with Frozen Multimodal Foundation Model

https://github.com/tom99763/Contrastive-Bi-Projector-for-Unsupervised-Domain-Adaption

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Contrastive Bi-Projector for Unsupervised Domain Adaption

https://github.com/tomervolk/hyper-pada

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Example-based Hypernetworks for Out-of-Distribution Generalization

https://github.com/tommiekerssies/evaluating-continual-test-time-adaptation-for-contextual-and-semantic-domain-shifts

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Evaluating Continual Test-Time Adaptation for Contextual and Semantic Domain Shifts

https://github.com/tomsherborne/tram_optimizer

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TRAM: Bridging Trust Regions and Sharpness Aware Minimization

https://github.com/tongjingqi/code2logic

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Code2Logic: Game-Code-Driven Data Synthesis for Enhancing VLMs General Reasoning

https://github.com/tonyckc/uda-bua

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Unsupervised Domain Adaptation for Low-dose CT Reconstruction via Bayesian Uncertainty Alignment

https://github.com/tonylekhtman/dilbert

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DILBERT: Customized Pre-Training for Domain Adaptation withCategory Shift, with an Application to Aspect Extraction

https://github.com/toshi2k2/CompnetDA

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A Bayesian Approach to OOD Robustness in Image Classification

https://github.com/tossowski/multimodalpromptretrieval

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Multimodal Prompt Retrieval for Generative Visual Question Answering

https://github.com/toughstonex/mvs_evaluation_benchmark

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RobustMVS: Single Domain Generalized Deep Multi-view Stereo

https://github.com/tpzou/hgl

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HGL: Hierarchical Geometry Learning for Test-time Adaptation in 3D Point Cloud Segmentation

https://github.com/trangvu/guda

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Generalised Unsupervised Domain Adaptation of Neural Machine Translation with Cross-Lingual Data Selection

https://github.com/trangvu/mlm4uda

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Effective Unsupervised Domain Adaptation with Adversarially Trained Language Models

https://github.com/trinhvg/impash

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IMPaSh: A Novel Domain-shift Resistant Representation for Colorectal Cancer Tissue Classification

https://github.com/trusthlt/privacy-legal-nlp-lm

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Privacy-Preserving Models for Legal Natural Language Processing

https://github.com/tsun/apa

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Domain Adaptation with Adversarial Training on Penultimate Activations

https://github.com/tsun/kuda

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Prior Knowledge Guided Unsupervised Domain Adaptation

https://github.com/tsun/lada

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Local Context-Aware Active Domain Adaptation

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