conftrace_

model customization

24 papers

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Co-occurring keywords · papers mentioning both

diffusion model (6) large language model (5) domain adaptation (5) text-to-image generation (3) transfer learning (3) end-to-end speech recognition (2) model personalization (2) text-to-image model (2) low-rank adaptation (2) parameter-efficient fine-tuning (2)

Papers

PPFL: A Parameter Behavior-Driven Plug-in Personalization Engine for Federated Learning AAAI 2026 T-LoRA: Single Image Diffusion Model Customization Without Overfitting AAAI 2026 Aligning to Constraints for Data-Efficient Language Model Customization NAACL 2025 CBP-Tuning: Efficient Local Customization for Black-box Large Language Models EMNLP 2025 ConceptGuard: Continual Personalized Text-to-Image Generation with Forgetting and Confusion Mitigation CVPR 2025 Data to Defense: The Role of Curation in Aligning Large Language Models Against Safety Compromise EMNLP 2025 Generating Multi-Image Synthetic Data for Text-to-Image Customization ICCV 2025 JEN-1 DreamStyler: Customized Musical Concept Learning via Pivotal Parameters Tuning AAAI 2025 Model-based Large Language Model Customization as Service EMNLP 2025 On Evaluating the Durability of Safeguards for Open-Weight LLMs ICLR 2025 Targeted Attack Improves Protection against Unauthorized Diffusion Customization ICLR 2025 Crayon: Customized On-Device LLM via Instant Adapter Blending and Edge-Server Hybrid Inference ACL 2024 Customization Assistant for Text-to-Image Generation CVPR 2024 Direct Consistency Optimization for Robust Customization of Text-to-Image Diffusion models NeurIPS 2024 LMFlow: An Extensible Toolkit for Finetuning and Inference of Large Foundation Models NAACL 2024 Orthogonal Adaptation for Modular Customization of Diffusion Models CVPR 2024 V-GlórIA - Customizing Large Vision and Language Models to European Portuguese EMNLP 2024 Client-Customized Adaptation for Parameter-Efficient Federated Learning ACL 2023 Is This Loss Informative? Faster Text-to-Image Customization by Tracking Objective Dynamics NeurIPS 2023 Train-Once-for-All Personalization CVPR 2023 Efficient Split-Mix Federated Learning for On-Demand and In-Situ Customization ICLR 2022 Improving Customization of Neural Transducers by Mitigating Acoustic Mismatch of Synthesized Audio Interspeech 2021 Developing RNN-T Models Surpassing High-Performance Hybrid Models with Customization Capability Interspeech 2020 Learning to Customize Model Structures for Few-shot Dialogue Generation Tasks ACL 2020