Zoo-Tuning: Adaptive Transfer from a Zoo of Models

29 June 2021

Papers citing "Zoo-Tuning: Adaptive Transfer from a Zoo of Models"

34 / 34 papers shown

Title
A Model Zoo on Phase Transitions in Neural Networks Konstantin Schurholt Léo Meynent Yefan Zhou Haiquan Lu Yaoqing Yang Damian Borth 68 0 0 25 Apr 2025
The Impact of Model Zoo Size and Composition on Weight Space Learning Damian Falk Konstantin Schurholt Damian Borth 34 0 0 14 Apr 2025
Instruction-Guided Autoregressive Neural Network Parameter Generation Soro Bedionita Bruno Andreis Song Chong Sung Ju Hwang DiffM 37 0 0 02 Apr 2025
Transfer Learning with Pre-trained Conditional Generative Models Shinýa Yamaguchi Sekitoshi Kanai Atsutoshi Kumagai Daiki Chijiwa H. Kashima VLM CLL BDL DiffM 129 5 0 21 Feb 2025
Federated Adversarial Learning for Robust Autonomous Landing Runway Detection Yi Li Plamen Angelov Zhengxin Yu Alvaro Lopez Pellicer Neeraj Suri 28 2 0 22 Jun 2024
Transferring Knowledge from Large Foundation Models to Small Downstream Models Shikai Qiu Boran Han Danielle C. Maddix Shuai Zhang Yuyang Wang Andrew Gordon Wilson 32 1 0 11 Jun 2024
Agile Multi-Source-Free Domain Adaptation Xinyao Li Jingjing Li Fengling Li Lei Zhu Ke Lu 28 6 0 08 Mar 2024
Referee Can Play: An Alternative Approach to Conditional Generation via Model Inversion Xuantong Liu Tianyang Hu Wenjia Wang Kenji Kawaguchi Yuan Yao DiffM 70 3 0 26 Feb 2024
FreeStyle: Free Lunch for Text-guided Style Transfer using Diffusion Models Feihong He Gang Li Mengyuan Zhang Leilei Yan Lingyu Si Fanzhang Li Li Shen DiffM 23 15 0 28 Jan 2024
Efficient Stitchable Task Adaptation Haoyu He Zizheng Pan Jing Liu Jianfei Cai Bohan Zhuang 24 3 0 29 Nov 2023
Elucidating The Design Space of Classifier-Guided Diffusion Generation Jiajun Ma Tianyang Hu Wenjia Wang Jiacheng Sun 25 9 0 17 Oct 2023
Deep Model Fusion: A Survey Weishi Li Yong Peng Miao Zhang Liang Ding Han Hu Li Shen FedML MoMe 28 51 0 27 Sep 2023
Towards Instance-adaptive Inference for Federated Learning Chunhui Feng Kai Yu Nian Liu Xinxing Xu Salman Khan W. Zuo FedML 23 11 0 11 Aug 2023
The identification of garbage dumps in the rural areas of Cyprus through the application of deep learning to satellite imagery Andrew Wilkinson 11 0 0 23 Jul 2023
Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How Sebastian Pineda Arango Fabio Ferreira Arlind Kadra Frank Hutter Frank Hutter Josif Grabocka 29 15 0 06 Jun 2023
Sparsified Model Zoo Twins: Investigating Populations of Sparsified Neural Network Models D. Honegger Konstantin Schurholt Damian Borth 22 4 0 26 Apr 2023
ViM: Vision Middleware for Unified Downstream Transferring Yutong Feng Biao Gong Jianwen Jiang Yiliang Lv Yujun Shen Deli Zhao Jingren Zhou 32 1 0 13 Mar 2023
Provable Pathways: Learning Multiple Tasks over Multiple Paths Yingcong Li Samet Oymak MoE 24 4 0 08 Mar 2023
Deep Model Reassembly Xingyi Yang Zhou Daquan Songhua Liu Jingwen Ye Xinchao Wang MoMe 20 120 0 24 Oct 2022
ZooD: Exploiting Model Zoo for Out-of-Distribution Generalization Qishi Dong Muhammad Awais Fengwei Zhou Chuanlong Xie Tianyang Hu Yongxin Yang Sung-Ho Bae Zhenguo Li OODD VLM 33 14 0 17 Oct 2022
Model Zoos: A Dataset of Diverse Populations of Neural Network Models Konstantin Schurholt Diyar Taskiran Boris Knyazev Xavier Giró-i-Nieto Damian Borth 52 29 0 29 Sep 2022
Hyper-Representations as Generative Models: Sampling Unseen Neural Network Weights Konstantin Schurholt Boris Knyazev Xavier Giró-i-Nieto Damian Borth 50 38 0 29 Sep 2022
Transfer Learning via Test-Time Neural Networks Aggregation Bruno Casella Alessio Barbaro Chisari S. Battiato M. Giuffrida FedML OOD 22 3 0 27 Jun 2022
Hub-Pathway: Transfer Learning from A Hub of Pre-trained Models Yang Shu Zhangjie Cao Ziyang Zhang Jianmin Wang Mingsheng Long 15 4 0 08 Jun 2022
Multi-Source Transfer Learning for Deep Model-Based Reinforcement Learning Remo Sasso M. Sabatelli M. Wiering 39 9 0 28 May 2022
Selective Cross-Task Distillation Su Lu Han-Jia Ye De-Chuan Zhan 25 0 0 25 Apr 2022
Learning Downstream Task by Selectively Capturing Complementary Knowledge from Multiple Self-supervisedly Learning Pretexts Jiayu Yao Qingyuan Wu Quan Feng Songcan Chen SSL 17 1 0 11 Apr 2022
Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time Mitchell Wortsman Gabriel Ilharco S. Gadre Rebecca Roelofs Raphael Gontijo-Lopes ... Hongseok Namkoong Ali Farhadi Y. Carmon Simon Kornblith Ludwig Schmidt MoMe 48 909 1 10 Mar 2022
Transferability in Deep Learning: A Survey Junguang Jiang Yang Shu Jianmin Wang Mingsheng Long OOD 31 101 0 15 Jan 2022
Transferability Metrics for Selecting Source Model Ensembles A. Agostinelli J. Uijlings Thomas Mensink V. Ferrari 13 23 0 25 Nov 2021
Ranking and Tuning Pre-trained Models: A New Paradigm for Exploiting Model Hubs Kaichao You Yong Liu Ziyang Zhang Jianmin Wang Michael I. Jordan Mingsheng Long 110 30 0 20 Oct 2021
Adversarial Robustness for Unsupervised Domain Adaptation Muhammad Awais Fengwei Zhou Hang Xu Lanqing Hong Ping Luo Sung-Ho Bae Zhenguo Li 18 39 0 02 Sep 2021
GAN Cocktail: mixing GANs without dataset access Omri Avrahami Dani Lischinski Ohad Fried DiffM MoMe 18 10 0 07 Jun 2021
Transferability and Hardness of Supervised Classification Tasks Anh Tran Cuong V Nguyen Tal Hassner 134 164 0 21 Aug 2019