In unsupervised domain adaptation (DA), 1 aims at learning from labeled source data and fully unlabeled target examples a model with a low error on the target domain. In this setting, standard generalization bounds prompt us to minimize the sum of three terms: (a) the source true risk, (...
Domain-Controlled Prompt Learning (AAAI2024). Contribute to caoql98/DCPL development by creating an account on GitHub.
Drop to Adapt: Learning Discriminative Features for Unsupervised Domain Adaptation [ICCV2019] [PyTorch] Cluster Alignment with a Teacher for Unsupervised Domain Adaptation [ICCV2019] [Tensorflow] Unsupervised Domain Adaptation via Regularized Conditional Alignment [ICCV2019] Attending to Discriminative Certainty...
Drop to Adapt: Learning Discriminative Features for Unsupervised Domain Adaptation [ICCV2019] [PyTorch] Cluster Alignment with a Teacher for Unsupervised Domain Adaptation [ICCV2019] [Tensorflow] Unsupervised Domain Adaptation via Regularized Conditional Alignment [ICCV2019] Attending to Discriminative Certainty...
Drop to Adapt: Learning Discriminative Features for Unsupervised Domain Adaptation [ICCV2019] [PyTorch] Cluster Alignment with a Teacher for Unsupervised Domain Adaptation [ICCV2019] [Tensorflow] Unsupervised Domain Adaptation via Regularized Conditional Alignment [ICCV2019] Attending to Discriminative Certainty...
Universal test-time adaptation Adapting Pre-trained Language Models to Vision-Language Tasks via Dynamic Visual Prompting [arxiv] Using dynamic visual prompting for model adaptation 用动态视觉prompt进行模型适配 1.Introduction and Tutorials (简介与教程)Want to quickly learn transfer learning?想尽快入门迁...
@inproceedings{chi_2024_ICLR, title={Adapting to Distribution Shift by Visual Domain Prompt Generation}, author={Zhixiang Chi, Li Gu, Tao Zhong, Huan Liu, Yuanhao Yu, Konstantinos N Plataniotis, Yang Wang}, booktitle={Proceedings of the Twelfth International Conference on Learning Representations}...
Drop to Adapt: Learning Discriminative Features for Unsupervised Domain Adaptation [ICCV2019] [PyTorch] Cluster Alignment with a Teacher for Unsupervised Domain Adaptation [ICCV2019] [Tensorflow] Unsupervised Domain Adaptation via Regularized Conditional Alignment [ICCV2019] Attending to Discriminative Certainty...
Drop to Adapt: Learning Discriminative Features for Unsupervised Domain Adaptation [ICCV2019] [PyTorch] Cluster Alignment with a Teacher for Unsupervised Domain Adaptation [ICCV2019] [Tensorflow] Unsupervised Domain Adaptation via Regularized Conditional Alignment [ICCV2019] Attending to Discriminative Certainty...
adaptercross-domainfine-tuningcross-domain-recommendationrecommender-sytemmulti-domain-learningprompt-tuparameter-efficient-tuninglarge-language-modelfoundation-recommendation-modelllm4rectransferable-recommendationmulti-domain-recommendationlora-recommendationpre-train-recommendationadapter-recommendation ...