PLAN: Proactive Low-Rank Allocation for Continual Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Xiequn, Zhuang, Zhan, Zhang, Yu |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
One-Token Verification for Reasoning Correctness Estimation
by: Zhuang, Zhan, et al.
Published: (2026)
by: Zhuang, Zhan, et al.
Published: (2026)
Energy-Structured Low-Rank Adaptation for Continual Learning
by: Li, Longhua, et al.
Published: (2026)
by: Li, Longhua, et al.
Published: (2026)
MGAA: Multi-Granular Adaptive Allocation fof Low-Rank Compression of LLMs
by: Li, Guangyan, et al.
Published: (2025)
by: Li, Guangyan, et al.
Published: (2025)
Hessian Aware Low-Rank Perturbation for Order-Robust Continual Learning
by: Li, Jiaqi, et al.
Published: (2023)
by: Li, Jiaqi, et al.
Published: (2023)
Nemesis: Normalizing the Soft-prompt Vectors of Vision-Language Models
by: Fu, Shuai, et al.
Published: (2024)
by: Fu, Shuai, et al.
Published: (2024)
Low-Rank MDPs with Continuous Action Spaces
by: Bennett, Andrew, et al.
Published: (2023)
by: Bennett, Andrew, et al.
Published: (2023)
Low-Rank Adaptation for Critic Learning in Off-Policy Reinforcement Learning
by: Zhuang, Yuan, et al.
Published: (2026)
by: Zhuang, Yuan, et al.
Published: (2026)
Adaptively Learning to Select-Rank in Online Platforms
by: Wang, Jingyuan, et al.
Published: (2024)
by: Wang, Jingyuan, et al.
Published: (2024)
DeLo: Dual Decomposed Low-Rank Experts Collaboration for Continual Missing Modality Learning
by: Liu, Xiwei, et al.
Published: (2026)
by: Liu, Xiwei, et al.
Published: (2026)
Breaking the Blocks: Continuous Low-Rank Decomposed Scaling for Unified LLM Quantization and Adaptation
by: Tang, Pingzhi, et al.
Published: (2026)
by: Tang, Pingzhi, et al.
Published: (2026)
The Primacy of Magnitude in Low-Rank Adaptation
by: Zhang, Zicheng, et al.
Published: (2025)
by: Zhang, Zicheng, et al.
Published: (2025)
MTL-LoRA: Low-Rank Adaptation for Multi-Task Learning
by: Yang, Yaming, et al.
Published: (2024)
by: Yang, Yaming, et al.
Published: (2024)
Edge-AI-Driven Learning-to-Rank for Decentralized Task Allocation in Circular Smart Manufacturing
by: Ghahramani, Mohammadhossein, et al.
Published: (2026)
by: Ghahramani, Mohammadhossein, et al.
Published: (2026)
Global Low-Rank, Local Full-Rank: The Holographic Encoding of Learned Algorithms
by: Xu, Yongzhong
Published: (2026)
by: Xu, Yongzhong
Published: (2026)
CoLoR-GAN: Continual Few-Shot Learning with Low-Rank Adaptation in Generative Adversarial Networks
by: Ali, Munsif, et al.
Published: (2025)
by: Ali, Munsif, et al.
Published: (2025)
Beyond Uniform Credit Assignment: Selective Eligibility Traces for RLVR
by: Mou, Chaoli, et al.
Published: (2026)
by: Mou, Chaoli, et al.
Published: (2026)
FM-LoRA: Factorized Low-Rank Meta-Prompting for Continual Learning
by: Yu, Xiaobing, et al.
Published: (2025)
by: Yu, Xiaobing, et al.
Published: (2025)
Graph Federated Learning Based Proactive Content Caching in Edge Computing
by: Wang, Rui
Published: (2025)
by: Wang, Rui
Published: (2025)
Mixture-of-Subspaces in Low-Rank Adaptation
by: Wu, Taiqiang, et al.
Published: (2024)
by: Wu, Taiqiang, et al.
Published: (2024)
LANCE: Low Rank Activation Compression for Efficient On-Device Continual Learning
by: Apolinario, Marco Paul E., et al.
Published: (2025)
by: Apolinario, Marco Paul E., et al.
Published: (2025)
Palu: Compressing KV-Cache with Low-Rank Projection
by: Chang, Chi-Chih, et al.
Published: (2024)
by: Chang, Chi-Chih, et al.
Published: (2024)
Polynomial Expansion Rank Adaptation: Enhancing Low-Rank Fine-Tuning with High-Order Interactions
by: Zhang, Wenhao, et al.
Published: (2026)
by: Zhang, Wenhao, et al.
Published: (2026)
Data-Free Continual Learning of Server Models in Model-Heterogeneous Cloud-Device Collaboration
by: Zhang, Xiao, et al.
Published: (2025)
by: Zhang, Xiao, et al.
Published: (2025)
Adaptive Budget Allocation for Orthogonal-Subspace Adapter Tuning in LLMs Continual Learning
by: Wan, Zhiyi, et al.
Published: (2025)
by: Wan, Zhiyi, et al.
Published: (2025)
FedHL: Federated Learning for Heterogeneous Low-Rank Adaptation via Unbiased Aggregation
by: Peng, Zihao, et al.
Published: (2025)
by: Peng, Zihao, et al.
Published: (2025)
Low-redundancy Distillation for Continual Learning
by: Liu, RuiQi, et al.
Published: (2023)
by: Liu, RuiQi, et al.
Published: (2023)
Decoupling General and Personalized Knowledge in Federated Learning via Additive and Low-Rank Decomposition
by: Wu, Xinghao, et al.
Published: (2024)
by: Wu, Xinghao, et al.
Published: (2024)
Tensor and Matrix Low-Rank Value-Function Approximation in Reinforcement Learning
by: Rozada, Sergio, et al.
Published: (2022)
by: Rozada, Sergio, et al.
Published: (2022)
Stable-LoRA: Stabilizing Feature Learning of Low-Rank Adaptation
by: Wu, Yize, et al.
Published: (2026)
by: Wu, Yize, et al.
Published: (2026)
Optimal Policy Sparsification and Low Rank Decomposition for Deep Reinforcement Learning
by: Goddla, Vikram
Published: (2024)
by: Goddla, Vikram
Published: (2024)
SwitchLoRA: Switched Low-Rank Adaptation Can Learn Full-Rank Information
by: Zhou, Kaiye, et al.
Published: (2024)
by: Zhou, Kaiye, et al.
Published: (2024)
Strategic Over-Parameterization for Generalizable Low-Rank Adaptation
by: Gao, Jing, et al.
Published: (2026)
by: Gao, Jing, et al.
Published: (2026)
Low-Rank Compression of Language Models via Differentiable Rank Selection
by: Sundrani, Sidhant, et al.
Published: (2025)
by: Sundrani, Sidhant, et al.
Published: (2025)
Deep Reinforcement Learning for Efficient and Fair Allocation of Health Care Resources
by: Li, Yikuan, et al.
Published: (2023)
by: Li, Yikuan, et al.
Published: (2023)
Towards Symmetric Low-Rank Adapters
by: Panoutsos, Tales, et al.
Published: (2025)
by: Panoutsos, Tales, et al.
Published: (2025)
A Stronger Mixture of Low-Rank Experts for Fine-Tuning Foundation Models
by: Sun, Mengyang, et al.
Published: (2025)
by: Sun, Mengyang, et al.
Published: (2025)
Towards Unified Multi-task EEG Analysis with Low-Rank Adaptation
by: Dai, Sicheng, et al.
Published: (2026)
by: Dai, Sicheng, et al.
Published: (2026)
Model-Based Proactive Cost Generation for Learning Safe Policies Offline with Limited Violation Data
by: Xue, Ruiqi, et al.
Published: (2026)
by: Xue, Ruiqi, et al.
Published: (2026)
Cross-Modal Bayesian Low-Rank Adaptation for Uncertainty-Aware Multimodal Learning
by: Naderi, Habibeh, et al.
Published: (2026)
by: Naderi, Habibeh, et al.
Published: (2026)
Continual Gradient Low-Rank Projection Fine-Tuning for LLMs
by: Wang, Chenxu, et al.
Published: (2025)
by: Wang, Chenxu, et al.
Published: (2025)
Similar Items
-
One-Token Verification for Reasoning Correctness Estimation
by: Zhuang, Zhan, et al.
Published: (2026) -
Energy-Structured Low-Rank Adaptation for Continual Learning
by: Li, Longhua, et al.
Published: (2026) -
MGAA: Multi-Granular Adaptive Allocation fof Low-Rank Compression of LLMs
by: Li, Guangyan, et al.
Published: (2025) -
Hessian Aware Low-Rank Perturbation for Order-Robust Continual Learning
by: Li, Jiaqi, et al.
Published: (2023) -
Nemesis: Normalizing the Soft-prompt Vectors of Vision-Language Models
by: Fu, Shuai, et al.
Published: (2024)