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

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

27 April 2023
Chengyue Wu
Teng Wang
Yixiao Ge
Zeyu Lu
Rui-Zhi Zhou
Ying Shan
Ping Luo
    MoMe
ArXivPDFHTML

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

6 / 6 papers shown
Title
SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer
SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer
Tu Vu
Brian Lester
Noah Constant
Rami Al-Rfou
Daniel Matthew Cer
VLM
LRM
131
235
0
15 Oct 2021
Learning to Prompt for Vision-Language Models
Learning to Prompt for Vision-Language Models
Kaiyang Zhou
Jingkang Yang
Chen Change Loy
Ziwei Liu
VPVLM
CLIP
VLM
314
2,108
0
02 Sep 2021
The Power of Scale for Parameter-Efficient Prompt Tuning
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
272
3,784
0
18 Apr 2021
Unifying Vision-and-Language Tasks via Text Generation
Unifying Vision-and-Language Tasks via Text Generation
Jaemin Cho
Jie Lei
Hao Tan
Mohit Bansal
MLLM
246
518
0
04 Feb 2021
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
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
294
6,003
0
20 Apr 2018
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
268
4,940
0
05 Dec 2016
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