adapter

Adapter Naturally Serves as Decoupler for Cross-Domain Few-Shot Semantic Segmentation ICML 2025 AdaPTS: Adapting Univariate Foundation Models to Probabilistic Multivariate Time Series Forecasting ICML 2025 Elucidating the Design Space of Torque-aware Vision-Language-Action Models CoRL 2025 Enhancing Foundation Models with Federated Domain Knowledge Infusion ICML 2025 Neutral residues: revisiting adapters for model extension ICML 2025 On the Duality between Gradient Transformations and Adapters ICML 2025 Resolving Lexical Bias in Model Editing ICML 2025 WMAdapter: Adding WaterMark Control to Latent Diffusion Models ICML 2025 An Empirical Study and Analysis of Text-to-Image Generation Using Large Language Model-Powered Textual Representation ECCV 2024 BBox-Adapter: Lightweight Adapting for Black-Box Large Language Models ICML 2024 Bridging Different Language Models and Generative Vision Models for Text-to-Image Generation ECCV 2024 Direct Distillation between Different Domains ECCV 2024 Enhancing Storage and Computational Efficiency in Federated Multimodal Learning for Large-Scale Models ICML 2024 Towards Modular LLMs by Building and Reusing a Library of LoRAs ICML 2024