Domain Generalization Using Large Pretrained Models with Mixture-of-Adapters

17 October 2023

Papers citing "Domain Generalization Using Large Pretrained Models with Mixture-of-Adapters"

8 / 8 papers shown

Title
MoSA: Mixture of Sparse Adapters for Visual Efficient Tuning Qizhe Zhang Bocheng Zou Ruichuan An Jiaming Liu Shanghang Zhang MoE 27 2 0 05 Dec 2023
Generalization in Neural Networks: A Broad Survey Chris Rohlfs OOD AI4CE 11 6 0 04 Sep 2022
PointCLIP: Point Cloud Understanding by CLIP Renrui Zhang Ziyu Guo Wei Zhang Kunchang Li Xupeng Miao Bin Cui Yu Qiao Peng Gao Hongsheng Li VLM 3DPC 175 435 0 04 Dec 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
SWAD: Domain Generalization by Seeking Flat Minima Junbum Cha Sanghyuk Chun Kyungjae Lee Han-Cheol Cho Seunghyun Park Yunsung Lee Sungrae Park MoMe 216 423 0 17 Feb 2021
Making Pre-trained Language Models Better Few-shot Learners Tianyu Gao Adam Fisch Danqi Chen 241 1,919 0 31 Dec 2020
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 284 2,890 0 15 Sep 2016
Domain-Adversarial Training of Neural Networks Yaroslav Ganin E. Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette M. Marchand Victor Lempitsky GAN OOD 177 9,332 0 28 May 2015