Fishr: Invariant Gradient Variances for Out-of-Distribution Generalization

7 September 2021

Papers citing "Fishr: Invariant Gradient Variances for Out-of-Distribution Generalization"

50 / 61 papers shown

Title
Learning Optimal Prompt Ensemble for Multi-source Visual Prompt Transfer Enming Zhang Liwen Cao Yanru Wu Zijie Zhao Guan Wang Yang Li 52 0 0 09 Apr 2025
FisherTune: Fisher-Guided Robust Tuning of Vision Foundation Models for Domain Generalized Segmentation Dong Zhao Jinlong Li Shuang Wang Mengyao Wu Qi Zang N. Sebe Zhun Zhong 250 0 0 23 Mar 2025
What's in a Latent? Leveraging Diffusion Latent Space for Domain Generalization Xavier Thomas Deepti Ghadiyaram DiffM 92 0 0 09 Mar 2025
DivIL: Unveiling and Addressing Over-Invariance for Out-of- Distribution Generalization Jiaqi Wang Yuhang Zhou Zhixiong Zhang Qiguang Chen Yongqiang Chen James Cheng OODD 74 1 0 18 Feb 2025
START: A Generalized State Space Model with Saliency-Driven Token-Aware Transformation Jintao Guo Lei Qi Yinghuan Shi Yang Gao 38 2 0 08 Jan 2025
Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes Aodi Li Liansheng Zhuang Xiao Long Minghong Yao Shafei Wang 276 0 0 18 Dec 2024
Meta Curvature-Aware Minimization for Domain Generalization Zhaoyu Chen Yiwen Ye Feilong Tang Yongsheng Pan Yong-quan Xia BDL 253 1 0 16 Dec 2024
QT-DoG: Quantization-aware Training for Domain Generalization Saqib Javed Hieu Le Mathieu Salzmann OOD MQ 40 1 0 08 Oct 2024
MIRACLE3D: Memory-efficient Integrated Robust Approach for Continual Learning on Point Clouds via Shape Model Construction Hossein Resani B. Nasihatkon 3DV 219 0 0 08 Oct 2024
Invariant Correlation of Representation with Label: Enhancing Domain Generalization in Noisy Environments Gaojie Jin Ronghui Mu Xinping Yi Xiaowei Huang Lijun Zhang 67 0 0 01 Jul 2024
Federated Unsupervised Domain Generalization using Global and Local Alignment of Gradients Farhad Pourpanah Mahdiyar Molahasani Milad Soltany Michael A. Greenspan Ali Etemad FedML OOD 173 2 0 25 May 2024
Non-stationary Domain Generalization: Theory and Algorithm Thai-Hoang Pham Xueru Zhang Ping Zhang OOD 53 1 0 10 May 2024
RetiGen: A Framework for Generalized Retinal Diagnosis Using Multi-View Fundus Images Ze Chen Gongyu Zhang Jiayu Huo Joan Nunez do Rio Charalampos Komninos Yang Liu Rachel Sparks Sebastien Ourselin Christos Bergeles Timothy Jackson 36 0 0 22 Mar 2024
Efficiently Assemble Normalization Layers and Regularization for Federated Domain Generalization Khiem Le-Huy Long Ho Cuong D. Do Danh Le-Phuoc Kok-Seng Wong OOD FedML 47 3 0 22 Mar 2024
M-HOF-Opt: Multi-Objective Hierarchical Output Feedback Optimization via Multiplier Induced Loss Landscape Scheduling Xudong Sun Nutan Chen Alexej Gossmann Yu Xing Carla Feistner ... Felix Drost Daniele Scarcella Lisa Beer Carsten Marr Carsten Marr 59 1 0 20 Mar 2024
Understanding Domain Generalization: A Noise Robustness Perspective Rui Qiao K. H. Low OOD 44 6 0 26 Jan 2024
Spanning Training Progress: Temporal Dual-Depth Scoring (TDDS) for Enhanced Dataset Pruning Xin Zhang Jiawei Du Yunsong Li Weiying Xie Qiufeng Wang 39 8 0 22 Nov 2023
Domain Generalisation via Risk Distribution Matching Toan Nguyen Kien Do Bao Duong T. Nguyen OOD 44 4 0 28 Oct 2023
Bayesian Domain Invariant Learning via Posterior Generalization of Parameter Distributions Shiyu Shen Bin Pan Tianyang Shi Tao Li Zhenwei Shi BDL OOD 40 1 0 25 Oct 2023
Generalizing Across Domains in Diabetic Retinopathy via Variational Autoencoders Sharon Chokuwa M. H. Khan 44 5 0 20 Sep 2023
LatentDR: Improving Model Generalization Through Sample-Aware Latent Degradation and Restoration Ran Liu Sahil Khose Jingyun Xiao Lakshmi Sathidevi Keerthan Ramnath Z. Kira Eva L. Dyer 41 3 0 28 Aug 2023
Causality-oriented robustness: exploiting general noise interventions Xinwei Shen Peter Buhlmann Armeen Taeb OOD 67 8 0 18 Jul 2023
An Empirical Study of Pre-trained Model Selection for Out-of-Distribution Generalization and Calibration Hiroki Naganuma Ryuichiro Hataya Kotaro Yoshida Ioannis Mitliagkas OODD 95 1 0 17 Jul 2023
Benchmarking Algorithms for Federated Domain Generalization Ruqi Bai S. Bagchi David I. Inouye FedML 40 12 0 11 Jul 2023
ALOFT: A Lightweight MLP-like Architecture with Dynamic Low-frequency Transform for Domain Generalization Jintao Guo Na Wang Lei Qi Yinghuan Shi 39 33 0 21 Mar 2023
Domain Generalization via Nuclear Norm Regularization Zhenmei Shi Yifei Ming Ying Fan Frederic Sala Yingyu Liang 30 12 0 13 Mar 2023
Spawrious: A Benchmark for Fine Control of Spurious Correlation Biases Aengus Lynch G. Dovonon Jean Kaddour Ricardo M. A. Silva 205 30 0 09 Mar 2023
Decompose, Adjust, Compose: Effective Normalization by Playing with Frequency for Domain Generalization Sangrok Lee Jongseong Bae Ha Young Kim OOD 43 26 0 04 Mar 2023
Domain-aware Triplet loss in Domain Generalization Kai Guo Brian C. Lovell OOD 38 6 0 01 Mar 2023
Aggregation of Disentanglement: Reconsidering Domain Variations in Domain Generalization Daoan Zhang Mingkai Chen Chenming Li Lingyun Huang Jianguo Zhang OOD 29 9 0 05 Feb 2023
Learning useful representations for shifting tasks and distributions Jianyu Zhang Léon Bottou OOD 34 13 0 14 Dec 2022
Domain Generalization by Learning and Removing Domain-specific Features Yuzhu Ding Lei Wang Binxin Liang Shuming Liang Yang Wang Fangxiao Chen OOD 30 41 0 14 Dec 2022
Malign Overfitting: Interpolation Can Provably Preclude Invariance Yoav Wald G. Yona Uri Shalit Y. Carmon 24 6 0 28 Nov 2022
HMOE: Hypernetwork-based Mixture of Experts for Domain Generalization Jingang Qu T. Faney Zehao Wang Patrick Gallinari Soleiman Yousef J. D. Hemptinne OOD 29 7 0 15 Nov 2022
Sufficient Invariant Learning for Distribution Shift Taero Kim Sungjun Lim Kyungwoo Song OOD 38 2 0 24 Oct 2022
Learning Gradient-based Mixup towards Flatter Minima for Domain Generalization Danni Peng Sinno Jialin Pan 40 2 0 29 Sep 2022
Mitigating Both Covariate and Conditional Shift for Domain Generalization Jianxin Lin Yongqiang Tang Junping Wang Wensheng Zhang OOD 50 3 0 17 Sep 2022
Out-of-Distribution Representation Learning for Time Series Classification Wang Lu Jindong Wang Xinwei Sun Yiqiang Chen Xingxu Xie OODD OOD 40 35 0 15 Sep 2022
Fuse and Attend: Generalized Embedding Learning for Art and Sketches U. Dutta 35 0 0 20 Aug 2022
INDIGO: Intrinsic Multimodality for Domain Generalization Puneet Mangla Shivam Chandhok Milan Aggarwal V. Balasubramanian Balaji Krishnamurthy VLM 46 2 0 13 Jun 2022
Prompt-aligned Gradient for Prompt Tuning Beier Zhu Yulei Niu Yucheng Han Yuehua Wu Hanwang Zhang VLM 189 275 0 30 May 2022
Diverse Weight Averaging for Out-of-Distribution Generalization Alexandre Ramé Matthieu Kirchmeyer Thibaud Rahier A. Rakotomamonjy Patrick Gallinari Matthieu Cord OOD 199 129 0 19 May 2022
WOODS: Benchmarks for Out-of-Distribution Generalization in Time Series Jean-Christophe Gagnon-Audet Kartik Ahuja Mohammad Javad Darvishi Bayazi Pooneh Mousavi G. Dumas Irina Rish OOD CML AI4TS 37 29 0 18 Mar 2022
Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning Matías Mendieta Taojiannan Yang Pu Wang Minwoo Lee Zhengming Ding Chong Chen FedML 31 158 0 28 Nov 2021
Three approaches to facilitate DNN generalization to objects in out-of-distribution orientations and illuminations Akira Sakai Taro Sunagawa Spandan Madan Kanata Suzuki Takashi Katoh Hiromichi Kobashi Hanspeter Pfister Pawan Sinha Xavier Boix Tomotake Sasaki 19 2 0 30 Oct 2021
Deep Active Learning by Leveraging Training Dynamics Haonan Wang Wei Huang Ziwei Wu A. Margenot Hanghang Tong Jingrui He AI4CE 31 33 0 16 Oct 2021
Optimization-based Causal Estimation from Heterogenous Environments Mingzhang Yin Yixin Wang David M. Blei OOD 88 17 0 24 Sep 2021
Iterative Feature Matching: Toward Provable Domain Generalization with Logarithmic Environments Yining Chen Elan Rosenfeld Mark Sellke Tengyu Ma Andrej Risteski OOD 36 33 0 18 Jun 2021
OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization Nanyang Ye Kaican Li Haoyue Bai Runpeng Yu Lanqing Hong Fengwei Zhou Zhenguo Li Jun Zhu CML OOD 42 107 0 07 Jun 2021
Privacy-Preserving Constrained Domain Generalization via Gradient Alignment Chris Xing Tian Haoliang Li Yufei Wang Shiqi Wang 18 4 0 14 May 2021