Deeper, Broader and Artier Domain Generalization

9 October 2017

Da Li

Yongxin Yang

Yi-Zhe Song

Timothy M. Hospedales

OOD

ArXiv PDF HTML

Papers citing "Deeper, Broader and Artier Domain Generalization"

50 / 901 papers shown

Title
Adaptive Feature Fusion Neural Network for Glaucoma Segmentation on Unseen Fundus Images Jiyuan Zhong Hu Ke Ming Yan MedIm 16 1 0 02 Apr 2024
Unknown Prompt, the only Lacuna: Unveiling CLIP's Potential for Open Domain Generalization Mainak Singha Ankit Jha Shirsha Bose Ashwin Nair Moloud Abdar Biplab Banerjee VLM 60 10 0 31 Mar 2024
DPStyler: Dynamic PromptStyler for Source-Free Domain Generalization Yunlong Tang Yuxuan Wan Lei Qi Xin Geng VLM 38 4 0 25 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 37 3 0 22 Mar 2024
Cell Variational Information Bottleneck Network Zhonghua Zhai Chen Ju Jinsong Lan Shuai Xiao 18 0 0 22 Mar 2024
DomainLab: A modular Python package for domain generalization in deep learning Xudong Sun Carla Feistner Alexej Gossmann George Schwarz Rao Muhammad Umer ... A. Gruber Nutan Chen Sayedali Shetab Boushehri Florian Buettner Carsten Marr OOD 28 0 0 21 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
SETA: Semantic-Aware Token Augmentation for Domain Generalization Jintao Guo Lei Qi Yinghuan Shi Yang Gao ViT 34 1 0 18 Mar 2024
Towards Generalizing to Unseen Domains with Few Labels Chamuditha Jayanga Galappaththige Sanoojan Baliah Malitha Gunawardhana Muhammad Haris Khan 32 3 0 18 Mar 2024
Uncertainty-guided Contrastive Learning for Single Source Domain Generalisation Anastasios Arsenos D. Kollias Evangelos Petrongonas Christos Skliros Stefanos D. Kollias 35 13 0 12 Mar 2024
Unknown Domain Inconsistency Minimization for Domain Generalization Seungjae Shin Heesun Bae Byeonghu Na Yoon-Yeong Kim Il-Chul Moon 39 2 0 12 Mar 2024
DiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain Generalization in Federated Learning Sikai Bai Jiewei Zhang Shuaicheng Li Song Guo Jingcai Guo Jun Hou Tao Han Xiaocheng Lu FedML 34 14 0 11 Mar 2024
Towards Robust Out-of-Distribution Generalization Bounds via Sharpness Yingtian Zou Kenji Kawaguchi Yingnan Liu Jiashuo Liu M. Lee W. Hsu 45 5 0 11 Mar 2024
Pre-Trained Model Recommendation for Downstream Fine-tuning Jiameng Bai Sai Wu Jie Song Junbo Zhao Gang Chen 42 0 0 11 Mar 2024
Domain Adversarial Active Learning for Domain Generalization Classification Jianting Chen Ling Ding Yunxiao Yang Zaiyuan Di Yang Xiang OOD 40 0 0 10 Mar 2024
Overcoming Data Inequality across Domains with Semi-Supervised Domain Generalization Jinha Park Won-Yong Cho Taesup Kim 44 0 0 08 Mar 2024
Domain-Agnostic Mutual Prompting for Unsupervised Domain Adaptation Zhekai Du Xinyao Li Fengling Li Ke Lu Lei Zhu Jingjing Li 40 15 0 05 Mar 2024
DomainVerse: A Benchmark Towards Real-World Distribution Shifts For Tuning-Free Adaptive Domain Generalization Feng Hou Jin Yuan Ying Yang Yang Liu Yang Zhang Cheng Zhong Zhongchao Shi Jianping Fan Yong Rui Zhiqiang He VLM 51 1 0 05 Mar 2024
A Survey on Evaluation of Out-of-Distribution Generalization Han Yu Jiashuo Liu Xingxuan Zhang Jiayun Wu Peng Cui OOD 47 8 0 04 Mar 2024
Fine-tuning with Very Large Dropout Jianyu Zhang Léon Bottou 44 1 0 01 Mar 2024
Uncertainty-Based Extensible Codebook for Discrete Federated Learning in Heterogeneous Data Silos Tianyi Zhang Yu Cao Dianbo Liu FedML 21 0 0 29 Feb 2024
Prompt-Driven Dynamic Object-Centric Learning for Single Domain Generalization Deng Li Aming Wu Yaowei Wang Yahong Han OOD VLM 26 9 0 28 Feb 2024
FedUV: Uniformity and Variance for Heterogeneous Federated Learning Ha Min Son M. Kim Tai-Myung Chung Chao Huang Xin Liu FedML 43 3 0 27 Feb 2024
StochCA: A Novel Approach for Exploiting Pretrained Models with Cross-Attention SeungWon Seo Suho Lee Sangheum Hwang 30 0 0 25 Feb 2024
Multimodal Instruction Tuning with Conditional Mixture of LoRA Ying Shen Zhiyang Xu Qifan Wang Yu Cheng Wenpeng Yin Lifu Huang 42 13 0 24 Feb 2024
Does Combining Parameter-efficient Modules Improve Few-shot Transfer Accuracy? Nader Asadi Mahdi Beitollahi Yasser H. Khalil Yinchuan Li Guojun Zhang Xi Chen MoMe 37 8 0 23 Feb 2024
Enhancing One-Shot Federated Learning Through Data and Ensemble Co-Boosting Rong Dai Yonggang Zhang Ang Li Tongliang Liu Xun Yang Bo Han FedML 79 12 0 23 Feb 2024
Consistency-Guided Temperature Scaling Using Style and Content Information for Out-of-Domain Calibration Wonjeong Choi Jun-Gyu Park Dong-Jun Han Younghyun Park Jaekyun Moon 42 1 0 22 Feb 2024
Generalizing Reward Modeling for Out-of-Distribution Preference Learning Chen Jia 38 2 0 22 Feb 2024
Domain Generalization via Causal Adjustment for Cross-Domain Sentiment Analysis Siyin Wang Jie Zhou Qin Chen Qi Zhang Tao Gui Xuanjing Huang OOD TTA 40 1 0 22 Feb 2024
A Comprehensive Review of Machine Learning Advances on Data Change: A Cross-Field Perspective Jeng-Lin Li Chih-Fan Hsu Ming-Ching Chang Wei-Chao Chen OOD 44 2 0 20 Feb 2024
Learning Conditional Invariances through Non-Commutativity Abhra Chaudhuri Serban Georgescu Anjan Dutta 52 0 0 18 Feb 2024
DART: A Principled Approach to Adversarially Robust Unsupervised Domain Adaptation Yunjuan Wang Hussein Hazimeh Natalia Ponomareva Alexey Kurakin Ibrahim Hammoud Raman Arora OOD AAML 30 0 0 16 Feb 2024
Any-Shift Prompting for Generalization over Distributions Zehao Xiao Jiayi Shen Mohammad Mahdi Derakhshani Tianran Ouyang Cees G. M. Snoek OOD VPVLM VLM 42 8 0 15 Feb 2024
HYPO: Hyperspherical Out-of-Distribution Generalization Yifei Ming Haoyue Bai Julian Katz-Samuels Yixuan Li OODD OOD 40 9 0 12 Feb 2024
Multimodal Unsupervised Domain Generalization by Retrieving Across the Modality Gap Christopher Liao Christian So Theodoros Tsiligkaridis Brian Kulis 36 0 0 06 Feb 2024
Rethinking the Starting Point: Collaborative Pre-Training for Federated Downstream Tasks Yun-Wei Chu Dong-Jun Han Seyyedali Hosseinalipour Christopher G. Brinton AI4CE FedML 32 1 0 03 Feb 2024
Parametric Feature Transfer: One-shot Federated Learning with Foundation Models Mahdi Beitollahi Alex Bie S. Hemati Leo Maxime Brunswic Xu Li Xi Chen Guojun Zhang FedML 71 8 0 02 Feb 2024
Towards Understanding Variants of Invariant Risk Minimization through the Lens of Calibration Kotaro Yoshida Hiroki Naganuma 68 1 0 31 Jan 2024
A Survey on Data Augmentation in Large Model Era Yue Zhou Chenlu Guo Xu Wang Yi-Ju Chang Yuan Wu LM&MA VLM 49 23 0 27 Jan 2024
Understanding Domain Generalization: A Noise Robustness Perspective Rui Qiao K. H. Low OOD 39 6 0 26 Jan 2024
CNG-SFDA: Clean-and-Noisy Region Guided Online-Offline Source-Free Domain Adaptation Hyeonwoo Cho Chanmin Park Donghee Kim Jinyoung Kim Won Hwa Kim TTA 31 0 0 26 Jan 2024
Improving Pseudo-labelling and Enhancing Robustness for Semi-Supervised Domain Generalization Adnan Khan Mai A. Shaaban Muhammad Haris Khan 34 5 0 25 Jan 2024
One Step Learning, One Step Review Xiaolong Huang Qiankun Li Xueran Li Xuesong Gao 26 1 0 19 Jan 2024
HCVP: Leveraging Hierarchical Contrastive Visual Prompt for Domain Generalization Guanglin Zhou Zhongyi Han Shiming Chen Erdun Gao Liming Zhu Tongliang Liu Lina Yao Anton van den Hengel 32 3 0 18 Jan 2024
Decoupled Prototype Learning for Reliable Test-Time Adaptation Guowei Wang Changxing Ding Wentao Tan Mingkui Tan VLM 37 2 0 15 Jan 2024
Learning Generalizable Models via Disentangling Spurious and Enhancing Potential Correlations Na Wang Lei Qi Jintao Guo Yinghuan Shi Yang Gao OOD 32 4 0 11 Jan 2024
Meta-forests: Domain generalization on random forests with meta-learning Yuyang Sun Panagiotis Kosmas 35 1 0 09 Jan 2024
VLLaVO: Mitigating Visual Gap through LLMs Shuhao Chen Yulong Zhang Weisen Jiang Jiangang Lu Yu Zhang VLM 54 2 0 06 Jan 2024
Preserving Silent Features for Domain Generalization Chujie Zhao Tianren Zhang Feng Chen 23 0 0 06 Jan 2024