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MixPHM: Redundancy-Aware Parameter-Efficient Tuning for Low-Resource
  Visual Question Answering
v1v2 (latest)

MixPHM: Redundancy-Aware Parameter-Efficient Tuning for Low-Resource Visual Question Answering

Computer Vision and Pattern Recognition (CVPR), 2023
2 March 2023
Jingjing Jiang
Nanning Zheng
    MoE
ArXiv (abs)PDFHTMLGithub (42★)

Papers citing "MixPHM: Redundancy-Aware Parameter-Efficient Tuning for Low-Resource Visual Question Answering"

3 / 3 papers shown
Rethinking Model Redundancy for Low-light Image Enhancement
Rethinking Model Redundancy for Low-light Image Enhancement
Tong Li
Lizhi Wang
Hansen Feng
Lin Zhu
Wanxuan Lu
Hua Huang
379
0
0
21 Dec 2024
Memory-Space Visual Prompting for Efficient Vision-Language Fine-Tuning
Memory-Space Visual Prompting for Efficient Vision-Language Fine-TuningInternational Conference on Machine Learning (ICML), 2024
Shibo Jie
Yehui Tang
Ning Ding
Zhi-Hong Deng
Kai Han
Yunhe Wang
VLM
365
21
0
09 May 2024
ADAPTERMIX: Exploring the Efficacy of Mixture of Adapters for
  Low-Resource TTS Adaptation
ADAPTERMIX: Exploring the Efficacy of Mixture of Adapters for Low-Resource TTS AdaptationInterspeech (Interspeech), 2023
Ambuj Mehrish
Abhinav Ramesh Kashyap
Yingting Li
Navonil Majumder
Soujanya Poria
250
14
0
29 May 2023
1
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