"memory-efficient fine-tuning" Papers

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EMLoC: Emulator-based Memory-efficient Fine-tuning with LoRA Correction

Hsi-Che Lin, Yu-Chu Yu, Kai-Po Chang et al.

NEURIPS 2025arXiv:2506.12015

From Low Rank Gradient Subspace Stabilization to Low-Rank Weights: Observations, Theories, and Applications

Ajay Jaiswal, Yifan Wang, Lu Yin et al.

ICML 2025arXiv:2407.11239

PseuZO: Pseudo-Zeroth-Order Algorithm for Training Deep Neural Networks

Pengyun Yue, Xuanlin Yang, Mingqing Xiao et al.

Sparse MeZO: Less Parameters for Better Performance in Zeroth-Order LLM Fine-Tuning

Yong Liu, Zirui Zhu, Chaoyu Gong et al.

NEURIPS 2025arXiv:2402.15751

Memory-Efficient Fine-Tuning for Quantized Diffusion Model

Hyogon Ryu, Seohyun Lim, Hyunjung Shim

ECCV 2024arXiv:2401.04339

Reducing Fine-Tuning Memory Overhead by Approximate and Memory-Sharing Backpropagation

Yuchen Yang, Yingdong Shi, Cheems Wang et al.

ICML 2024arXiv:2406.16282

Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark

Yihua Zhang, Pingzhi Li, Junyuan Hong et al.

ICML 2024arXiv:2402.11592