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Domain Adaptation

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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/pilshan/rem

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Ranked Entropy Minimization for Continual Test-Time Adaptation

https://github.com/pimed/trusglandsegmentation

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Domain Generalization for Prostate Segmentation in Transrectal Ultrasound Images: A Multi-center Study

https://github.com/piotr-teterwak/erm_plusplus

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ERM++: An Improved Baseline for Domain Generalization

https://github.com/pizzareapers/fedsdaf

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FedSDAF: Leveraging Source Domain Awareness for Enhanced Federated Domain Generalization

https://github.com/pjlab-adg/3dtrans

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ReSimAD: Zero-Shot 3D Domain Transfer for Autonomous Driving with Source Reconstruction and Target Simulation

https://github.com/pjlab-adg/pcsim

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ReSimAD: Zero-Shot 3D Domain Transfer for Autonomous Driving with Source Reconstruction and Target Simulation

https://github.com/pku-ml/beyond_interpretability

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Beyond Interpretability: The Gains of Feature Monosemanticity on Model Robustness

https://github.com/plant-ai-biophysics-lab/CropGAN

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Enlisting 3D Crop Models and GANs for More Data Efficient and Generalizable Fruit Detection

https://github.com/plustwo0/generalized-face-landmarker

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Generalizable Face Landmarking Guided by Conditional Face Warping

https://github.com/pnborchert/core

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CORE: A Few-Shot Company Relation Classification Dataset for Robust Domain Adaptation

https://github.com/po-sheng/meta_transferring_for_deblurring

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Meta Transferring for Deblurring

https://github.com/polimi-ispl/sr-bvoc

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Super-Resolution of BVOC Emission Maps Via Domain Adaptation

https://github.com/pootiet/augcse

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AugCSE: Contrastive Sentence Embedding with Diverse Augmentations

https://github.com/poppinace/TAISL

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When Unsupervised Domain Adaptation Meets Tensor Representations

https://github.com/postBG/DTA.pytorch

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Drop to Adapt: Learning Discriminative Features for Unsupervised Domain Adaptation

https://github.com/pphub-hy/torch-tapnet

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Deep Learning based Intelligent Coin-tap Test for Defect Recognition

https://github.com/pprett/bolt

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Cross-Lingual Adaptation using Structural Correspondence Learning

https://github.com/pranavajitnair/dapa

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Domain Aligned Prefix Averaging for Domain Generalization in Abstractive Summarization

https://github.com/prasannab29/pacda

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Continual Domain Adaptation through Pruning-aided Domain-specific Weight Modulation

https://github.com/praveena2j/wsdaor

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Deep Domain Adaptation for Ordinal Regression of Pain Intensity Estimation Using Weakly-Labelled Videos

https://github.com/primebo1/FAMNet

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FAMNet: Frequency-aware Matching Network for Cross-domain Few-shot Medical Image Segmentation

https://github.com/primeqa/primeqa

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UDAPDR: Unsupervised Domain Adaptation via LLM Prompting and Distillation of Rerankers

https://github.com/prithv1/DMG

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Learning to Balance Specificity and Invariance for In and Out of Domain Generalization

https://github.com/prithv1/pasta

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PASTA: Proportional Amplitude Spectrum Training Augmentation for Syn-to-Real Domain Generalization

https://github.com/psetinek/simshift

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SIMSHIFT: A Benchmark for Adapting Neural Surrogates to Distribution Shifts

https://github.com/pshams55/ASPN

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Road Segmentation for Remote Sensing Images using Adversarial Spatial Pyramid Networks

https://github.com/pth1993/fatdm

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Fairness and Accuracy under Domain Generalization

https://github.com/puchapu/utep

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Learning Unbiased Transferability for Domain Adaptation by Uncertainty Modeling

https://github.com/pumpkin-co/mtl-lora

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MTL-LoRA: Low-Rank Adaptation for Multi-Task Learning

https://github.com/purdue-m2/sp_cup

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Robust AI-Generated Face Detection with Imbalanced Data

https://github.com/pwsong-ustc/ida

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Intermediate Domain-guided Adaptation for Unsupervised Chorioallantoic Membrane Vessel Segmentation

https://github.com/pygda-team/pygda

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Revisiting, Benchmarking and Understanding Unsupervised Graph Domain Adaptation

https://github.com/pyjulie/ussl4mic

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Universal Semi-Supervised Learning for Medical Image Classification

https://github.com/pykale/pykale

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PyKale: Knowledge-Aware Machine Learning from Multiple Sources in Python

https://github.com/pythonot/convolutional-monge-mapping-normalization

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Convolutional Monge Mapping Normalization for learning on sleep data

https://github.com/pytorch/ignite

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