Deeper, Broader and Artier Domain Generalization

9 October 2017

Da Li

Yongxin Yang

Yi-Zhe Song

Timothy M. Hospedales

OOD

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Papers citing "Deeper, Broader and Artier Domain Generalization"

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Title
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 79 1 0 22 Feb 2024
Generalizing Reward Modeling for Out-of-Distribution Preference Learning Chen Jia 83 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 72 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 105 2 0 20 Feb 2024
Learning Conditional Invariances through Non-Commutativity Abhra Chaudhuri Serban Georgescu Anjan Dutta 100 1 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 71 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 120 10 0 15 Feb 2024
HYPO: Hyperspherical Out-of-Distribution Generalization Yifei Ming Haoyue Bai Julian Katz-Samuels Yixuan Li OODD OOD 81 10 0 12 Feb 2024
Multimodal Unsupervised Domain Generalization by Retrieving Across the Modality Gap Christopher Liao Christian So Theodoros Tsiligkaridis Brian Kulis 86 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 82 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 101 10 0 02 Feb 2024
Towards Understanding Variants of Invariant Risk Minimization through the Lens of Calibration Kotaro Yoshida Hiroki Naganuma 153 2 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 128 27 0 27 Jan 2024
Understanding Domain Generalization: A Noise Robustness Perspective Rui Qiao K. H. Low OOD 83 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 127 0 0 26 Jan 2024
Improving Pseudo-labelling and Enhancing Robustness for Semi-Supervised Domain Generalization Adnan Khan Mai A. Shaaban Muhammad Haris Khan 113 5 0 25 Jan 2024
One Step Learning, One Step Review Xiaolong Huang Qiankun Li Xueran Li Xuesong Gao 69 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 Kun Zhang 96 3 0 18 Jan 2024
Decoupled Prototype Learning for Reliable Test-Time Adaptation Guowei Wang Changxing Ding Wentao Tan Mingkui Tan VLM 93 4 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 96 4 0 11 Jan 2024
Meta-forests: Domain generalization on random forests with meta-learning Yuyang Sun Panagiotis Kosmas 49 1 0 09 Jan 2024
VLLaVO: Mitigating Visual Gap through LLMs Shuhao Chen Yulong Zhang Weisen Jiang Jiangang Lu Yu Zhang VLM 123 2 0 06 Jan 2024
Preserving Silent Features for Domain Generalization Chujie Zhao Tianren Zhang Feng Chen 85 0 0 06 Jan 2024
Prompt-driven Latent Domain Generalization for Medical Image Classification Siyuan Yan Chi Liu Zhen Yu Lie Ju Dwarikanath Mahapatra B. Betz‐Stablein Victoria Mar Monika Janda Peter Soyer Zongyuan Ge OOD VLM MedIm 116 9 0 05 Jan 2024
Multi-Source Collaborative Gradient Discrepancy Minimization for Federated Domain Generalization Yikang Wei Yahong Han 102 10 0 05 Jan 2024
Mixture Data for Training Cannot Ensure Out-of-distribution Generalization Songming Zhang Yuxiao Luo Qizhou Wang Haoang Chi Xiaofeng Chen Bo Han Jinyan Li OODD 88 0 0 25 Dec 2023
Revisiting Knowledge Distillation under Distribution Shift Songming Zhang Ziyu Lyu Xiaofeng Chen 69 1 0 25 Dec 2023
Merging Vision Transformers from Different Tasks and Domains Peng Ye Chenyu Huang Mingzhu Shen Tao Chen Yongqi Huang Yuning Zhang Wanli Ouyang MoMe 77 12 0 25 Dec 2023
MARS: Multi-Scale Adaptive Robotics Vision for Underwater Object Detection and Domain Generalization L. Saad Saoud Lakmal D. Seneviratne Irfan Hussain 118 0 0 23 Dec 2023
AdvST: Revisiting Data Augmentations for Single Domain Generalization Guangtao Zheng Mengdi Huai Aidong Zhang 107 20 0 20 Dec 2023
StyleSinger: Style Transfer for Out-of-Domain Singing Voice Synthesis Yu Zhang Rongjie Huang Ruiqi Li Jinzheng He Yan Xia Feiyang Chen Xinyu Duan Baoxing Huai Zhou Zhao VLM 129 19 0 17 Dec 2023
Towards Context-Aware Domain Generalization: Understanding the Benefits and Limits of Marginal Transfer Learning Jens Müller Lars Kühmichel Martin Rohbeck Stefan T. Radev Ullrich Kothe OOD 82 0 0 15 Dec 2023
ADOD: Adaptive Domain-Aware Object Detection with Residual Attention for Underwater Environments L. Saad Saoud Zhenwei Niu Atif Sultan Lakmal D. Seneviratne Irfan Hussain 69 3 0 11 Dec 2023
Invariant Representation via Decoupling Style and Spurious Features from Images Ruimeng Li Yuanhao Pu Zhaoyi Li Hong Xie Defu Lian OOD 90 1 0 11 Dec 2023
Singular Value Penalization and Semantic Data Augmentation for Fully Test-Time Adaptation Houcheng Su Daixian Liu Mengzhu Wang Wei Wang TTA 77 1 0 10 Dec 2023
Subject-Based Domain Adaptation for Facial Expression Recognition Muhammad Osama Zeeshan Haseeb Aslam Soufiane Belharbi A. L. Koerich M. Pedersoli Simon L Bacon Eric Granger 87 4 0 09 Dec 2023
Cross Domain Generative Augmentation: Domain Generalization with Latent Diffusion Models S. Hemati Mahdi Beitollahi A. Estiri Bassel Al Omari Xi Chen Guojun Zhang 64 7 0 08 Dec 2023
Open Domain Generalization with a Single Network by Regularization Exploiting Pre-trained Features Inseop Chung Kiyoon Yoo Nojun Kwak VLM 92 0 0 08 Dec 2023
SEVA: Leveraging sketches to evaluate alignment between human and machine visual abstraction Kushin Mukherjee Holly Huey Xuanchen Lu Yael Vinker Rio Aguina-Kang Ariel Shamir Judith E. Fan 157 13 0 05 Dec 2023
Federated Active Learning for Target Domain Generalisation Razvan Caramalau Binod Bhattarai Danail Stoyanov OOD FedML 60 1 0 04 Dec 2023
Wild-Tab: A Benchmark For Out-Of-Distribution Generalization In Tabular Regression Sergey Kolesnikov CML OOD 69 4 0 04 Dec 2023
Nonparametric Variational Regularisation of Pretrained Transformers Fabio Fehr James Henderson 75 0 0 01 Dec 2023
Each Test Image Deserves A Specific Prompt: Continual Test-Time Adaptation for 2D Medical Image Segmentation Ziyang Chen Yongsheng Pan Yiwen Ye Mengkang Lu Yong-quan Xia OOD VLM MedIm 81 8 0 30 Nov 2023
Rescuing referral failures during automated diagnosis of domain-shifted medical images Anuj Srivastava Karm Patel Pradeep Shenoy D. Sridharan OOD 63 0 0 28 Nov 2023
HD Maps are Lane Detection Generalizers: A Novel Generative Framework for Single-Source Domain Generalization Daeun Lee Minhyeok Heo Jiwon Kim 71 0 0 28 Nov 2023
CLAP: Isolating Content from Style through Contrastive Learning with Augmented Prompts Yichao Cai Yuhang Liu Zhen Zhang Javen Qinfeng Shi CLIP VLM 143 8 0 28 Nov 2023
Choosing Wisely and Learning Deeply: Selective Cross-Modality Distillation via CLIP for Domain Generalization Jixuan Leng Yijiang Li Haohan Wang VLM 93 0 0 26 Nov 2023
TEA: Test-time Energy Adaptation Yige Yuan Bingbing Xu Liang Hou Fei Sun Huawei Shen Xueqi Cheng TTA VLM 71 11 0 24 Nov 2023
Parameter Exchange for Robust Dynamic Domain Generalization Luojun Lin Zhifeng Shen Zhishu Sun Yuanlong Yu Lei Zhang Weijie Chen OOD 117 6 0 23 Nov 2023
From Categories to Classifier: Name-Only Continual Learning by Exploring the Web Ameya Prabhu Hasan Hammoud Ser-Nam Lim Guohao Li Philip Torr Adel Bibi CLL 176 8 0 19 Nov 2023