Poster "parameter efficient fine-tuning" Papers

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Block-Diagonal LoRA for Eliminating Communication Overhead in Tensor Parallel LoRA Serving

Xinyu Wang, Jonas M. Kübler, Kailash Budhathoki et al.

NEURIPS 2025arXiv:2510.23346

Dense2MoE: Restructuring Diffusion Transformer to MoE for Efficient Text-to-Image Generation

Youwei Zheng, Yuxi Ren, Xin Xia et al.

ICCV 2025arXiv:2510.09094

Geometry-Aware Collaborative Multi-Solutions Optimizer for Model Fine-Tuning with Parameter Efficiency

Van-Anh Nguyen, Trung Le, Mehrtash Harandi et al.

Parameter Efficient Fine-tuning via Explained Variance Adaptation

Fabian Paischer, Lukas Hauzenberger, Thomas Schmied et al.

NEURIPS 2025arXiv:2410.07170

Skip Tuning: Pre-trained Vision-Language Models are Effective and Efficient Adapters Themselves

Shihan Wu, Ji Zhang, Pengpeng Zeng et al.

CVPR 2025arXiv:2412.11509

Differentially Private Bias-Term Fine-tuning of Foundation Models

Zhiqi Bu, Yu-Xiang Wang, Sheng Zha et al.

ICML 2024arXiv:2210.00036

Parameter Efficient Quasi-Orthogonal Fine-Tuning via Givens Rotation

Xinyu Ma, Xu Chu, Zhibang Yang et al.

ICML 2024arXiv:2404.04316

Random Masking Finds Winning Tickets for Parameter Efficient Fine-tuning

Jing Xu, Jingzhao Zhang

ICML 2024arXiv:2405.02596

Trainable Transformer in Transformer

Abhishek Panigrahi, Sadhika Malladi, Mengzhou Xia et al.

ICML 2024arXiv:2307.01189