$π$-Tuning: Transferring Multimodal Foundation Models with Optimal
Multi-task Interpolation

$π$ -Tuning: Transferring Multimodal Foundation Models with Optimal Multi-task Interpolation

27 April 2023

Zeyu Lu

Ying Shan

Ping Luo

Papers citing "$π$-Tuning: Transferring Multimodal Foundation Models with Optimal Multi-task Interpolation"

9 / 9 papers shown

Title
Towards Modular LLMs by Building and Reusing a Library of LoRAs O. Ostapenko Zhan Su E. Ponti Laurent Charlin Nicolas Le Roux Matheus Pereira Lucas Caccia Alessandro Sordoni MoMe 41 31 0 18 May 2024
DAM: Dynamic Adapter Merging for Continual Video QA Learning Feng Cheng Ziyang Wang Yi-Lin Sung Yan-Bo Lin Mohit Bansal Gedas Bertasius CLL MoMe 31 10 0 13 Mar 2024
Knowledge-Aware Prompt Tuning for Generalizable Vision-Language Models Baoshuo Kan Teng Wang Wenpeng Lu Xiantong Zhen Weili Guan Feng Zheng VPVLM VLM 28 25 0 22 Aug 2023
SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer Tu Vu Brian Lester Noah Constant Rami Al-Rfou Daniel Cer VLM LRM 137 277 0 15 Oct 2021
Learning to Prompt for Vision-Language Models Kaiyang Zhou Jingkang Yang Chen Change Loy Ziwei Liu VPVLM CLIP VLM 345 2,271 0 02 Sep 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 280 3,848 0 18 Apr 2021
Unifying Vision-and-Language Tasks via Text Generation Jaemin Cho Jie Lei Hao Tan Joey Tianyi Zhou MLLM 256 525 0 04 Feb 2021
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 297 6,959 0 20 Apr 2018
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,661 0 05 Dec 2016