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memory-efficient fine-tuning

6 papers

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Co-occurring keywords · papers mentioning both

memory efficiency (3) large language model (2) parameter-efficient fine-tuning (2) zeroth-order optimization (2) tensor-train adaptation (1) activation reconstruction (1) block skipping (1) dynamic patch sampling (1) block-wise descent (1) cross-attention masking (1)

Papers

Memory-Efficient Fine-Tuning Diffusion Transformers via Dynamic Patch Sampling and Block Skipping CVPR 2026 AdaZeta: Adaptive Zeroth-Order Tensor-Train Adaption for Memory-Efficient Large Language Models Fine-Tuning EMNLP 2024 Dr2Net: Dynamic Reversible Dual-Residual Networks for Memory-Efficient Finetuning CVPR 2024 MEFT: Memory-Efficient Fine-Tuning through Sparse Adapter ACL 2024 Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark ICML 2024 SlimFit: Memory-Efficient Fine-Tuning of Transformer-based Models Using Training Dynamics NAACL 2024