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Domain Adaptation

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하위 태스크: 13
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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/aI-area/CEL

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CEL: A Continual Learning Model for Disease Outbreak Prediction by Leveraging Domain Adaptation via Elastic Weight Consolidation

https://github.com/aaaasssddf/global-anchor-method

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The Global Anchor Method for Quantifying Linguistic Shifts and Domain Adaptation

https://github.com/aakanksha19/ODETTE

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Towards Open Domain Event Trigger Identification using Adversarial Domain Adaptation

https://github.com/aamixsh/eeg_mci

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On the challenges of detecting MCI using EEG in the wild

https://github.com/abanitalebi/simrod

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SimROD: A Simple Adaptation Method for Robust Object Detection

https://github.com/abdullahjamal/Longtail_DA

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Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition from a Domain Adaptation Perspective

https://github.com/abhayraw1/spi

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Semi-Supervised Domain Adaptation by Similarity based Pseudo-label Injection

https://github.com/abhi460729/GATN

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Generalized Adaptive Transfer Network: Enhancing Transfer Learning in Reinforcement Learning Across Domains

https://github.com/abhrac/nci

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Learning Conditional Invariances through Non-Commutativity

https://github.com/abie-e/bftt3d

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Backpropagation-free Network for 3D Test-time Adaptation

https://github.com/accuser907/finefake

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FineFake: A Knowledge-Enriched Dataset for Fine-Grained Multi-Domain Fake News Detection

https://github.com/acmi-lab/missingness-shift

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Domain Adaptation under Missingness Shift

https://github.com/acmi-lab/open-set-label-shift

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Domain Adaptation under Open Set Label Shift

https://github.com/acmi-lab/rlsbench

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RLSbench: Domain Adaptation Under Relaxed Label Shift

https://github.com/adapt-python/adapt

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Adversarial Weighting for Domain Adaptation in Regression

https://github.com/adithya7/xlel-wd

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Multilingual Event Linking to Wikidata

https://github.com/adityaarunsinghal/Domain-Adaptation

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Task Transfer and Domain Adaptation for Zero-Shot Question Answering

https://github.com/adnan-khan7/uplm

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Improving Pseudo-labelling and Enhancing Robustness for Semi-Supervised Domain Generalization

https://github.com/adobe-research/domain-expansion

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HyperGAN-CLIP: A Unified Framework for Domain Adaptation, Image Synthesis and Manipulation

https://github.com/adobe/antialiased-cnns

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Making Convolutional Networks Shift-Invariant Again

https://github.com/adragnar/irm-toxicity-classification

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Fairness and Robustness in Invariant Learning: A Case Study in Toxicity Classification

https://github.com/adrianchifu/FreSaDa

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FreSaDa: A French Satire Data Set for Cross-Domain Satire Detection

https://github.com/aeolusguan/NMRF

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Neural Markov Random Field for Stereo Matching

https://github.com/afsharshamsi/etage

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ETAGE: Enhanced Test Time Adaptation with Integrated Entropy and Gradient Norms for Robust Model Performance

https://github.com/agaldran/lwnet

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The Little W-Net That Could: State-of-the-Art Retinal Vessel Segmentation with Minimalistic Models

https://github.com/agrija9/deep-unsupervised-domain-adaptation

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Evaluation of Deep Neural Network Domain Adaptation Techniques for Image Recognition

https://github.com/agroimpacts/cnn-generalization-enhancement

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Generalization Enhancement Strategies to Enable Cross-year Cropland Mapping with Convolutional Neural Networks Trained Using Historical Samples

https://github.com/ahoyosid/hyperbolic_alignment

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Aligning Hyperbolic Representations: an Optimal Transport-based approach

https://github.com/ai-application-and-integration-lab/dgua_fas

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Domain-Generalized Face Anti-Spoofing with Unknown Attacks

https://github.com/ai4healthuol/ppg-ood-generalization

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Generalizable deep learning for photoplethysmography-based blood pressure estimation -- A Benchmarking Study

https://github.com/aicell-lab/cell-video-diffusion

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Adapting Video Diffusion Models for Time-Lapse Microscopy

https://github.com/aiiu-lab/blenda

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BlenDA: Domain Adaptive Object Detection through diffusion-based blending

https://github.com/aim-uofa/omni-r1

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Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration

https://github.com/aimagelab/open-fashion-clip

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OpenFashionCLIP: Vision-and-Language Contrastive Learning with Open-Source Fashion Data

https://github.com/aipmlab/domain_adaptation

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Simulations of Common Unsupervised Domain Adaptation Algorithms for Image Classification

https://github.com/aipmlab/faa-clip

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FAA-CLIP: Federated Adversarial Adaptation of CLIP

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