model personalization

HyperDreamBooth: HyperNetworks for Fast Personalization of Text-to-Image Models CVPR 2024 P4: Plug-and-Play Discrete Prompting for Large Language Models Personalization ACL 2024 Speaker Personalization for Automatic Speech Recognition using Weight-Decomposed Low-Rank Adaptation Interspeech 2024 A Model for Every User and Budget: Label-Free and Personalized Mixed-Precision Quantization Interspeech 2023 Efficient Model Personalization in Federated Learning via Client-Specific Prompt Generation ICCV 2023 Eliminating Domain Bias for Federated Learning in Representation Space NeurIPS 2023 GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning ICCV 2023 How To Prevent the Poor Performance Clients for Personalized Federated Learning? CVPR 2023 Is This Loss Informative? Faster Text-to-Image Customization by Tracking Objective Dynamics NeurIPS 2023 Personalized Federated Learning with Inferred Collaboration Graphs ICML 2023 Train-Once-for-All Personalization CVPR 2023 A Scalable Model Specialization Framework for Training and Inference using Submodels and its Application to Speech Model Personalization Interspeech 2022 CD2-pFed: Cyclic Distillation-Guided Channel Decoupling for Model Personalization in Federated Learning CVPR 2022 FedBABU: Toward Enhanced Representation for Federated Image Classification ICLR 2022 FedSoft: Soft Clustered Federated Learning with Proximal Local Updating AAAI 2022 Personalized Federated Learning through Local Memorization ICML 2022 Differentially Private Model Personalization NeurIPS 2021 Exploiting Shared Representations for Personalized Federated Learning ICML 2021 Federated Block Coordinate Descent Scheme for Learning Global and Personalized Models AAAI 2021 Regularized Mutual Learning for Personalized Federated Learning ACML 2021 Robust Continuous On-Device Personalization for Automatic Speech Recognition Interspeech 2021 Test-Time Personalization with a Transformer for Human Pose Estimation NeurIPS 2021 Unsupervised Model Personalization While Preserving Privacy and Scalability: An Open Problem CVPR 2020 An Investigation into On-Device Personalization of End-to-End Automatic Speech Recognition Models Interspeech 2019