model adaptation

State-offset Tuning: State-based Parameter-Efficient Fine-Tuning for State Space Models ACL 2025 SuBiTO: Synopsis-based Training Optimization for Continuous Real-Time Neural Learning over Big Streaming Data AAAI 2025 TASO: Task-Aligned Sparse Optimization for Parameter-Efficient Model Adaptation EMNLP 2025 Time-LlaMA: Adapting Large Language Models for Time Series Modeling via Dynamic Low-rank Adaptation ACL 2025 Towards Higher Effective Rank in Parameter-Efficient Fine-tuning using Khatri-Rao Product ICCV 2025 Towards Source-Free Machine Unlearning CVPR 2025 Transformed Low-rank Adaptation via Tensor Decomposition and Its Applications to Text-to-image Models ICCV 2025 TurboFill: Adapting Few-step Text-to-image Model for Fast Image Inpainting CVPR 2025 Unleashing the Power of Task-Specific Directions in Parameter Efficient Fine-tuning ICLR 2025 AdanCA: Neural Cellular Automata As Adaptors For More Robust Vision Transformer NeurIPS 2024 Adapters Strike Back CVPR 2024 Bias in Opinion Summarisation from Pre-training to Adaptation: A Case Study in Political Bias EACL 2024 Boosting Image Quality Assessment through Efficient Transformer Adaptation with Local Feature Enhancement CVPR 2024 Bridging The Gap between Low-rank and Orthogonal Adaptation via Householder Reflection Adaptation NeurIPS 2024 Convolution Meets LoRA: Parameter Efficient Finetuning for Segment Anything Model ICLR 2024 CUNI and LMU Submission to the MRL 2024 Shared Task on Multi-lingual Multi-task Information Retrieval EMNLP 2024 Debiasing Algorithm through Model Adaptation ICLR 2024 Design Proteins Using Large Language Models: Enhancements and Comparative Analyses ACL 2024 Dynamic against Dynamic: An Open-Set Self-Learning Framework IJCAI 2024 Enhancing LLM Capabilities Beyond Scaling Up EMNLP 2024 Exploring Design Choices for Building Language-Specific LLMs EMNLP 2024 LoRA-GA: Low-Rank Adaptation with Gradient Approximation NeurIPS 2024 MACP: Efficient Model Adaptation for Cooperative Perception WACV 2024 Make Me a BNN: A Simple Strategy for Estimating Bayesian Uncertainty from Pre-trained Models CVPR 2024 ML-SUPERB 2.0: Benchmarking Multilingual Speech Models Across Modeling Constraints, Languages, and Datasets Interspeech 2024