Seasoning Model Soups for Robustness to Adversarial and Natural
Distribution Shifts

Seasoning Model Soups for Robustness to Adversarial and Natural Distribution Shifts

20 February 2023

Francesco Croce

Sylvestre-Alvise Rebuffi

Papers citing "Seasoning Model Soups for Robustness to Adversarial and Natural Distribution Shifts"

18 / 18 papers shown

Title
Exploring Synergistic Ensemble Learning: Uniting CNNs, MLP-Mixers, and Vision Transformers to Enhance Image Classification Mk Bashar Ocean Monjur Samia Islam Mohammad Galib Shams Niamul Quader UQCV 29 0 0 12 Apr 2025
Enhanced Soups for Graph Neural Networks Joseph Zuber Aishwarya Sarkar Joseph Jennings Ali Jannesari 45 0 0 14 Mar 2025
Test-time Adversarial Defense with Opposite Adversarial Path and High Attack Time Cost Cheng-Han Yeh Kuanchun Yu Chun-Shien Lu DiffM AAML 33 0 0 22 Oct 2024
Adversarial Training: A Survey Mengnan Zhao Lihe Zhang Jingwen Ye Huchuan Lu Baocai Yin Xinchao Wang AAML 21 0 0 19 Oct 2024
Hyper Adversarial Tuning for Boosting Adversarial Robustness of Pretrained Large Vision Models Kangtao Lv Huangsen Cao Kainan Tu Yihuai Xu Zhimeng Zhang Xin Ding Yongwei Wang MoMe AAML VLM 14 1 0 08 Oct 2024
Learning Scalable Model Soup on a Single GPU: An Efficient Subspace Training Strategy Tao Li Weisen Jiang Fanghui Liu X. Huang James T. Kwok MoMe 51 1 0 04 Jul 2024
Benchmarking Out-of-Distribution Generalization Capabilities of DNN-based Encoding Models for the Ventral Visual Cortex Spandan Madan Will Xiao Mingran Cao Hanspeter Pfister Margaret Livingstone Gabriel Kreiman OOD 45 4 0 16 Jun 2024
RADIN: Souping on a Budget Thibaut Menes Olivier Risser-Maroix MoMe 32 1 0 31 Jan 2024
The Risk of Federated Learning to Skew Fine-Tuning Features and Underperform Out-of-Distribution Robustness Mengyao Du Miao Zhang Yuwen Pu Kai Xu Shouling Ji Quanjun Yin 16 1 0 25 Jan 2024
WARM: On the Benefits of Weight Averaged Reward Models Alexandre Ramé Nino Vieillard Léonard Hussenot Robert Dadashi Geoffrey Cideron Olivier Bachem Johan Ferret 102 92 0 22 Jan 2024
Towards Robust Pruning: An Adaptive Knowledge-Retention Pruning Strategy for Language Models Jianwei Li Qi Lei Wei Cheng Dongkuan Xu KELM 8 3 0 19 Oct 2023
Deep Model Fusion: A Survey Weishi Li Yong Peng Miao Zhang Liang Ding Han Hu Li Shen FedML MoMe 21 51 0 27 Sep 2023
UnIVAL: Unified Model for Image, Video, Audio and Language Tasks Mustafa Shukor Corentin Dancette Alexandre Ramé Matthieu Cord MoMe MLLM 27 42 0 30 Jul 2023
Sparse Model Soups: A Recipe for Improved Pruning via Model Averaging Max Zimmer Christoph Spiegel S. Pokutta MoMe 28 14 0 29 Jun 2023
Rewarded soups: towards Pareto-optimal alignment by interpolating weights fine-tuned on diverse rewards Alexandre Ramé Guillaume Couairon Mustafa Shukor Corentin Dancette Jean-Baptiste Gaya Laure Soulier Matthieu Cord MoMe 30 135 0 07 Jun 2023
Diverse Weight Averaging for Out-of-Distribution Generalization Alexandre Ramé Matthieu Kirchmeyer Thibaud Rahier A. Rakotomamonjy Patrick Gallinari Matthieu Cord OOD 188 128 0 19 May 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 258 7,337 0 11 Nov 2021
Mind the box: $l_1$ -APGD for sparse adversarial attacks on image classifiers Francesco Croce Matthias Hein AAML 40 54 0 01 Mar 2021