conftrace_

low-rank adaptation

560 papers

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Also known as

LRA LORA

Co-occurring keywords

parameter-efficient fine-tuning (736) large language model (13587) model compression (3302) parameter efficient fine-tuning (168) diffusion model (3751) mixture of expert (640) transfer learning (5449) knowledge distillation (3725) catastrophic forgetting (958) multi-task learning (2575)

Papers

Fine-Grained DINO Tuning with Dual Supervision for Face Forgery Detection AAAI 2026

Alfa: Attentive Low-Rank Filter Adaptation for Structure-Aware Cross-Domain Personalized Gaze Estimation AAAI 2026

LoGIC: Multi-LoRA Guided Importance Consensus for Multi-Task Pruning in Vision Transformers AAAI 2026

DeLo: Dual Decomposed Low-Rank Experts Collaboration for Continual Missing Modality Learning AAAI 2026

HALoRA: Low-Rank Adaptation with Hierarchical Budget Allocation for Efficient Vision-Language Alignment AAAI 2026

Surgical AI Copilot: Energy-Based Fourier Gradient Low-Rank Adaptation for Surgical LLM Agent Reasoning and Planning AAAI 2026

AgentODRL: A Large Language Model-based Multi-agent System for ODRL Generation AAAI 2026

Hybrid Routing for a Mixture of LoRA Experts AAAI 2026

Do LLMs Feel? Teaching Emotion Recognition with Prompts, Retrieval, and Curriculum Learning AAAI 2026

Put the Space of LoRA Initialization to the Extreme to Preserve Pre-trained Knowledge AAAI 2026

OPLoRA: Orthogonal Projection LoRA Prevents Catastrophic Forgetting During Parameter-Efficient Fine-Tuning AAAI 2026

Scale Regularization for Stable Low-Rank Adaptation AAAI 2026

Mixture of Ranks with Degradation-Aware Routing for One-Step Real-World Image Super-Resolution AAAI 2026

TARA: Token-Aware LoRA for Composable Personalization in Diffusion Models AAAI 2026

T-LoRA: Single Image Diffusion Model Customization Without Overfitting AAAI 2026

Mass Concept Erasure in Diffusion Models with Concept Hierarchy AAAI 2026

Deeply Seeking Boundary for Lunar Regolith Segmentation AAAI 2026

Probability Distribution Alignment and Low-Rank Weight Decomposition for Source-Free Domain Adaptive Brain Decoding AAAI 2026

Parametric Pareto Set Learning for Expensive Multi-Objective Optimization AAAI 2026

RobuMTL: Enhancing Multi-Task Learning Robustness Against Weather Conditions WACV 2026

Not All Directions Matter: Towards Structured and Task-Aware Low-Rank Model Adaptation ACL 2026

SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling ACL 2026

Between a Rock and a Hard Place: The Tension Between Ethical Reasoning and Safety Alignment in LLMs ACL 2026

Capability Decomposition for Unified Information Extraction via Hierarchical Mixture-of-Experts ACL 2026

MALoRA: Mixture of Asymmetric Low-Rank Adaptation for Enhanced Multi-Task Learning NAACL 2025