trainable parameter

DenseLoRA: Dense Low-Rank Adaptation of Large Language Models ACL 2025 Improving Memory Efficiency for Training KANs via Meta Learning ICML 2025 KAN-AD: Time Series Anomaly Detection with Kolmogorov–Arnold Networks ICML 2025 Memory Layers at Scale ICML 2025 MuseControlLite: Multifunctional Music Generation with Lightweight Conditioners ICML 2025 NeuroAda: Activating Each Neuron’s Potential for Parameter-Efficient Fine-Tuning EMNLP 2025 Parameter-Efficient Fine-Tuning with Circulant and Diagonal Vectors IJCAI 2025 Population Normalization for Federated Learning CVPR 2025 SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity ICML 2025 BECoTTA: Input-dependent Online Blending of Experts for Continual Test-time Adaptation ICML 2024 Non-asymptotic Approximation Error Bounds of Parameterized Quantum Circuits NeurIPS 2024 Parameter-Efficient Fine-Tuning with Discrete Fourier Transform ICML 2024 Random Masking Finds Winning Tickets for Parameter Efficient Fine-tuning ICML 2024 Parameter-Efficient Fine-Tuning Design Spaces ICLR 2023 ErfAct and Pserf: Non-monotonic Smooth Trainable Activation Functions AAAI 2022 LoRA: Low-Rank Adaptation of Large Language Models ICLR 2022