low-rank approximation

LIFT the Veil for the Truth: Principal Weights Emerge after Rank Reduction for Reasoning-Focused Supervised Fine-Tuning ICML 2025 LiteASR: Efficient Automatic Speech Recognition with Low-Rank Approximation EMNLP 2025 LoRanPAC: Low-rank Random Features and Pre-trained Models for Bridging Theory and Practice in Continual Learning ICLR 2025 LoRID: Low-Rank Iterative Diffusion for Adversarial Purification AAAI 2025 LRA-QViT: Integrating Low-Rank Approximation and Quantization for Robust and Efficient Vision Transformers ICML 2025 LRQ: Optimizing Post-Training Quantization for Large Language Models by Learning Low-Rank Weight-Scaling Matrices NAACL 2025 MeMoTune: A Measure and Moment-Driven Fine-Tuning Framework for Quantized Large Language Models ACL 2025 Multi-matrix Factorization Attention ACL 2025 OTLRM: Orthogonal Learning-based Low-Rank Metric for Multi-Dimensional Inverse Problems AAAI 2025 Personalizing Low-Rank Bayesian Neural Networks Via Federated Learning AISTATS 2025 QERA: an Analytical Framework for Quantization Error Reconstruction ICLR 2025 SLiM: One-shot Quantization and Sparsity with Low-rank Approximation for LLM Weight Compression ICML 2025 SLR-MVTC: Smooth Low-Rank Multi-View Tensor Clustering AAAI 2025 SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression ICLR 2025 Targeted Low-rank Refinement: Enhancing Sparse Language Models with Precision ICML 2025 Towards Economical Inference: Enabling DeepSeek’s Multi-Head Latent Attention in Any Transformer-based LLMs ACL 2025 UORA: Uniform Orthogonal Reinitialization Adaptation in Parameter Efficient Fine-Tuning of Large Models ACL 2025 Adaptive Rank Selections for Low-Rank Approximation of Language Models NAACL 2024 A non-backtracking method for long matrix and tensor completion COLT 2024 Continual Multi-View Clustering with Consistent Anchor Guidance IJCAI 2024 Delta-CoMe: Training-Free Delta-Compression with Mixed-Precision for Large Language Models NeurIPS 2024 DL-QAT: Weight-Decomposed Low-Rank Quantization-Aware Training for Large Language Models EMNLP 2024 DQ-LoRe: Dual Queries with Low Rank Approximation Re-ranking for In-Context Learning ICLR 2024 Efficient Low-Dimensional Compression of Overparameterized Models AISTATS 2024 Efficient Minimum Bayes Risk Decoding using Low-Rank Matrix Completion Algorithms NeurIPS 2024