conftrace_

low-rank approximation

323 papers

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Also known as

LORA

Co-occurring keywords

model compression (3302) matrix factorization (529) matrix completion (356) tensor decomposition (375) singular value decomposition (222) matrix approximation (89) dimensionality reduction (720) tensor completion (64) kernel methods (1097) convex optimization (1321)

Papers

Feedback Alignment Meets Low-Rank Manifolds: A Structured Recipe for Local Learning WACV 2026
Hybrid Restricted Master Problem for Boolean Matrix Factorisation AAAI 2026
HiSVD: Principled Low-Rank Approximation of LLMs via Hierarchical Modeling of Information Capacity and Spectral Structure ACL 2026
FLRQ: Faster LLM Quantization with Flexible Low-Rank Matrix Sketching AAAI 2026
SVD-NO: Learning PDE Solution Operators with SVD Integral Kernels AAAI 2026
CompTrack: Information Bottleneck-Guided Low-Rank Dynamic Token Compression for Point Cloud Tracking AAAI 2026
HiNCoT: Hierarchical Nonlinear Continuous Transform-based Tensor Representation for Multi-Dimensional Data Recovery AAAI 2026
LowRank-CAM: A Computationally Efficient and Interpretable Framework for Medical Image Analysis (Student Abstract) AAAI 2026
From Scarcity to Capability: Empowering Fake News Detection in Low-Resource Languages with LLMs COLING 2025
Multi-matrix Factorization Attention ACL 2025
COAP: Memory-Efficient Training with Correlation-Aware Gradient Projection CVPR 2025
MeMoTune: A Measure and Moment-Driven Fine-Tuning Framework for Quantized Large Language Models ACL 2025
OTLRM: Orthogonal Learning-based Low-Rank Metric for Multi-Dimensional Inverse Problems AAAI 2025
LRQ: Optimizing Post-Training Quantization for Large Language Models by Learning Low-Rank Weight-Scaling Matrices NAACL 2025
SLR-MVTC: Smooth Low-Rank Multi-View Tensor Clustering AAAI 2025
A Random Matrix Approach to Low-Multilinear-Rank Tensor Approximation JMLR 2025
LiteASR: Efficient Automatic Speech Recognition with Low-Rank Approximation EMNLP 2025
Assigning Distinct Roles to Quantized and Low-Rank Matrices Toward Optimal Weight Decomposition ACL 2025
Towards Economical Inference: Enabling DeepSeek’s Multi-Head Latent Attention in Any Transformer-based LLMs ACL 2025
LoRID: Low-Rank Iterative Diffusion for Adversarial Purification AAAI 2025
1+1>2: A Synergistic Sparse and Low-Rank Compression Method for Large Language Models EMNLP 2025
UORA: Uniform Orthogonal Reinitialization Adaptation in Parameter Efficient Fine-Tuning of Large Models ACL 2025
Efficient One-shot Compression via Low-Rank Local Feature Distillation NAACL 2025
Integrating Independent Layer-Wise Rank Selection with Low-Rank SVD Training for Model Compression: A Theory-Driven Approach IJCAI 2025
KOALA: Kernel Coupling and Element Imputation Induced Multi-View Clustering AAAI 2025