low-rank decomposition

DeltaQuant: 4-bit Video Diffusion Models with Spatiotemporal Delta Smoothing CVPR 2026 Fast Guaranteed Robust Local-Smooth Principal Component Separation AAAI 2026 FedARA: Resource-adaptive Low-rank Personalized Federated Learning via Anchor-driven Representation Alignment on Heterogeneous Edge Devices CVPR 2026 FLAT-LLM: Fine-grained Low-rank Activation Space Transformation for Large Language Model Compression EACL 2026 LRDUN: A Low-Rank Deep Unfolding Network for Efficient Spectral Compressive Imaging CVPR 2026 Model Merging in the Essential Subspace CVPR 2026 Adaptive Rank Allocation: Speeding Up Modern Transformers with RaNA Adapters ICLR 2025 A Wander Through the Multimodal Landscape: Efficient Transfer Learning via Low-rank Sequence Multimodal Adapter AAAI 2025 Beyond Low-rank Decomposition: A Shortcut Approach for Efficient On-Device Learning ICML 2025 CASP: Compression of Large Multimodal Models Based on Attention Sparsity CVPR 2025 Compression-Aware Computing for Scalable and Sustainable AI AAAI 2025 Efficient Learning with Sine-Activated Low-Rank Matrices ICLR 2025 Graph Random Walk with Feature-Label Space Alignment: A Multi-Label Feature Selection Method IJCAI 2025 OATS: Outlier-Aware Pruning Through Sparse and Low Rank Decomposition ICLR 2025 Outlier-Aware Post-Training Quantization for Discrete Graph Diffusion Models ICML 2025 SoLA: Leveraging Soft Activation Sparsity and Low-Rank Decomposition for Large Language Model Compression AAAI 2025 The Panaceas for Improving Low-Rank Decomposition in Communication-Efficient Federated Learning ICML 2025 Compressing Large Language Models using Low Rank and Low Precision Decomposition NeurIPS 2024 Expanding Sparse Tuning for Low Memory Usage NeurIPS 2024 LQ-LoRA: Low-rank plus Quantized Matrix Decomposition for Efficient Language Model Finetuning ICLR 2024 MoE-I2: Compressing Mixture of Experts Models through Inter-Expert Pruning and Intra-Expert Low-Rank Decomposition EMNLP 2024 Sample-Efficient Personalization: Modeling User Parameters as Low Rank Plus Sparse Components AISTATS 2024 Robust and Efficient Alignment of Calcium Imaging Data Through Simultaneous Low Rank and Sparse Decomposition WACV 2023 Self-supervised Graph Neural Networks via Low-Rank Decomposition NeurIPS 2023 Compressing Neural Networks: Towards Determining the Optimal Layer-wise Decomposition NeurIPS 2021