Domain Adaptation

Domain adaptation addresses the challenge of applying machine learning models trained on one dataset (the source domain) to a different dataset with a different distribution (the target domain). Current research focuses on techniques like adversarial training, knowledge distillation, and optimal transport to bridge this domain gap, often employing transformer-based models, generative adversarial networks (GANs), and various meta-learning approaches. This field is crucial for improving the robustness and generalizability of machine learning models across diverse real-world applications, particularly in areas with limited labeled data such as medical imaging, natural language processing for low-resource languages, and personalized recommendation systems. The development of standardized evaluation frameworks is also a growing area of focus to ensure fair comparison and reproducibility of results.

Papers

August 3, 2023

Efficient Model Adaptation for Continual Learning at the Edge
Zachary A. Daniels, Jun Hu, Michael Lomnitz, Phil Miller, Aswin Raghavan, Joe Zhang, Michael Piacentino, David Zhang
Domain Adaptation Continual LEArning Extreme Edge Adapter Learning Class Incremental Continual Learning Efficient Continual Learning Efficient Model Adaptation

August 2, 2023

August 1, 2023

Domain Adaptation based on Human Feedback for Enhancing Generative Model Denoising Abilities
Hyun-Cheol Park, Sung Ho Kang
Domain Adaptation Human Feedback Image Denoising Denoising Model Generative Image Denoising

July 31, 2023

July 29, 2023

CMDA: Cross-Modality Domain Adaptation for Nighttime Semantic Segmentation
Ruihao Xia, Chaoqiang Zhao, Meng Zheng, Ziyan Wu, Qiyu Sun, Yang Tang
Semantic Segmentation Domain Adaptation Event Based Nighttime Semantic Segmentation Unsupervised Cross Modality Domain Adaptation

July 27, 2023

July 26, 2023

Dynamic Domain Discrepancy Adjustment for Active Multi-Domain Adaptation
Long Liu, Bo Zhou, Zhipeng Zhao, Zening Liu
Domain Adaptation Source Domain Domain Discrepancy Active Domain Adaptation

July 25, 2023

ChildGAN: Large Scale Synthetic Child Facial Data Using Domain Adaptation in StyleGAN
Muhammad Ali Farooq, Wang Yao, Gabriel Costache, Peter Corcoran
Domain Adaptation StyleGAN Latent Facial Data Face Morphing

July 24, 2023

SL: Stable Learning in Source-Free Domain Adaption for Medical Image Segmentation
Yixin Chen, Yan Wang
Domain Adaptation Medical Image Segmentation Unsupervised Domain Adaptation Domain Shift Source Free Domain Adaptation Stable Learning

July 21, 2023

Divide and Adapt: Active Domain Adaptation via Customized Learning
Duojun Huang, Jichang Li, Weikai Chen, Junshi Huang, Zhenhua Chai, Guanbin Li
Domain Adaptation Unsupervised Domain Adaptation Semi Supervised Domain Adaptation Data Divide Personalized Learning Active Domain Adaptation Domain Adaption

July 20, 2023

Feed-Forward Source-Free Domain Adaptation via Class Prototypes
Ondrej Bohdal, Da Li, Timothy Hospedales
Domain Adaptation Pre Trained Model Domain Shift Back Propagation Source Free Domain Adaptation Class Prototype

July 19, 2023

Source-Free Domain Adaptation for Medical Image Segmentation via Prototype-Anchored Feature Alignment and Contrastive Learning
Qinji Yu, Nan Xi, Junsong Yuan, Ziyu Zhou, Kang Dang, Xiaowei Ding
Contrastive Learning Domain Adaptation Medical Image Segmentation Unsupervised Domain Adaptation Source Free Domain Adaptation Cross Modality Prototype Alignment

July 17, 2023

Domain Adaptation

Papers

Efficient Model Adaptation for Continual Learning at the Edge

Curriculum Guided Domain Adaptation in the Dark

Continual Domain Adaptation on Aerial Images under Gradually Degrading Weather

Domain Adaptation based on Human Feedback for Enhancing Generative Model Denoising Abilities

Domain Adaptation for Medical Image Segmentation using Transformation-Invariant Self-Training

UDAMA: Unsupervised Domain Adaptation through Multi-discriminator Adversarial Training with Noisy Labels Improves Cardio-fitness Prediction

CMDA: Cross-Modality Domain Adaptation for Nighttime Semantic Segmentation

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

Taxonomy Adaptive Cross-Domain Adaptation in Medical Imaging via Optimization Trajectory Distillation

Dynamic Domain Discrepancy Adjustment for Active Multi-Domain Adaptation

ChildGAN: Large Scale Synthetic Child Facial Data Using Domain Adaptation in StyleGAN

SL: Stable Learning in Source-Free Domain Adaption for Medical Image Segmentation

Divide and Adapt: Active Domain Adaptation via Customized Learning

Feed-Forward Source-Free Domain Adaptation via Class Prototypes

Source-Free Domain Adaptation for Medical Image Segmentation via Prototype-Anchored Feature Alignment and Contrastive Learning

Domain Adaptation based Object Detection for Autonomous Driving in Foggy and Rainy Weather

Deep learning for unsupervised domain adaptation in medical imaging: Recent advancements and future perspectives

Zero-shot Domain-sensitive Speech Recognition with Prompt-conditioning Fine-tuning

Multi-Domain Learning with Modulation Adapters

Domain Adaptation using Silver Standard Masks for Lateral Ventricle Segmentation in FLAIR MRI