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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/M-Elfeki/ThirdToFirst

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From Third Person to First Person: Dataset and Baselines for Synthesis and Retrieval

https://github.com/M3RG-IITD/llamat

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Foundational Large Language Models for Materials Research

https://github.com/MECLabTUDA/ACS

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Adversarial Continual Learning for Multi-Domain Hippocampal Segmentation

https://github.com/MIPT-Oulu/RobustCartilageSegmentation

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Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation

https://github.com/MInner/lrmf

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Log-Likelihood Ratio Minimizing Flows: Towards Robust and Quantifiable Neural Distribution Alignment

https://github.com/MLforHealth/CausalDA

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Pulling Up by the Causal Bootstraps: Causal Data Augmentation for Pre-training Debiasing

https://github.com/MLforHealth/ClinicalDG

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An Empirical Framework for Domain Generalization in Clinical Settings

https://github.com/Maddy12/SSL4VideoSurvey

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Self-Supervised Learning for Videos: A Survey

https://github.com/Manjuphoenix/IndraEye

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IndraEye: Infrared Electro-Optical UAV-based Perception Dataset for Robust Downstream Tasks

https://github.com/MarcBotet/hamlet

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To Adapt or Not to Adapt? Real-Time Adaptation for Semantic Segmentation

https://github.com/MasaKat0/D3RE

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Non-Negative Bregman Divergence Minimization for Deep Direct Density Ratio Estimation

https://github.com/MasoumehSharafi/DSFDA-for-Pain-Assessment

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Disentangled Source-Free Personalization for Facial Expression Recognition with Neutral Target Data

https://github.com/Mazin-Hnewa/MS-DAYOLO

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Multiscale Domain Adaptive YOLO for Cross-Domain Object Detection

https://github.com/McGill-NLP/MLQuestions

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Back-Training excels Self-Training at Unsupervised Domain Adaptation of Question Generation and Passage Retrieval

https://github.com/MediaBrain-SJTU/FACT

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A Fourier-based Framework for Domain Generalization

https://github.com/Megvii-Nanjing/CR-DA-DET

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Exploring Categorical Regularization for Domain Adaptive Object Detection

https://github.com/Meowuu7/AutoGPart

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AutoGPart: Intermediate Supervision Search for Generalizable 3D Part Segmentation

https://github.com/Minminhfut/SSRLDACode

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Semi-supervised representation learning via dual autoencoders for domain adaptation

https://github.com/Mithunjha/EarEEG_KnowledgeDistillation

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A Knowledge Distillation Framework For Enhancing Ear-EEG Based Sleep Staging With Scalp-EEG Data

https://github.com/Mukosame/AODA

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Adversarial Open Domain Adaptation for Sketch-to-Photo Synthesis

https://github.com/MultifacetedNLP/Web-Agents-Unsupervised

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Grounded Language Agent for Product Search via Intelligent Web Interactions

https://github.com/MushroomHunting/RSS2020-online-domain-adaptation-pot

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Online Domain Adaptation for Occupancy Mapping

https://github.com/MyeongJin-Kim/Learning-Texture-Invariant-Representation

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Learning Texture Invariant Representation for Domain Adaptation of Semantic Segmentation

https://github.com/NIC-VICOROB/nicmslesions

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One-shot domain adaptation in multiple sclerosis lesion segmentation using convolutional neural networks

https://github.com/NLP2CT/Meta-Curriculum

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Meta-Curriculum Learning for Domain Adaptation in Neural Machine Translation

https://github.com/NLPrinceton/ALaCarte

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A La Carte Embedding: Cheap but Effective Induction of Semantic Feature Vectors

https://github.com/NVIDIA/NeMo

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Text-only domain adaptation for end-to-end ASR using integrated text-to-mel-spectrogram generator

https://github.com/NVlabs/ASG

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Automated Synthetic-to-Real Generalization

https://github.com/NVlabs/CSG

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Contrastive Syn-to-Real Generalization

https://github.com/NVlabs/DG-Net-PP

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Joint Disentangling and Adaptation for Cross-Domain Person Re-Identification

https://github.com/NVlabs/STL

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Fully Attentional Networks with Self-emerging Token Labeling

https://github.com/NVlabs/weakly-supervised-gaze

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Weakly-Supervised Physically Unconstrained Gaze Estimation

https://github.com/NadeenAhmad/NeOn-GPTAquaDivaOntology

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LLMs4Life: Large Language Models for Ontology Learning in Life Sciences

https://github.com/Natlem/M-HTCN

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Incremental Multi-Target Domain Adaptation for Object Detection with Efficient Domain Transfer

https://github.com/Newbeeer/TRM

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Learning Representations that Support Robust Transfer of Predictors

https://github.com/OasisYang/SSG

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Self-similarity Grouping: A Simple Unsupervised Cross Domain Adaptation Approach for Person Re-identification

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