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1710.03463
Cited By
Learning to Generalize: Meta-Learning for Domain Generalization
10 October 2017
Da Li
Yongxin Yang
Yi-Zhe Song
Timothy M. Hospedales
OOD
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Papers citing
"Learning to Generalize: Meta-Learning for Domain Generalization"
50 / 791 papers shown
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Jian Xu
Xu-Yao Zhang
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Out-of-Distribution Learning with Human Feedback
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Xuefeng Du
Katie Rainey
Shibin Parameswaran
Yixuan Li
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259
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Gradient Alignment Improves Test-Time Adaptation for Medical Image Segmentation
AAAI Conference on Artificial Intelligence (AAAI), 2024
Ziyang Chen
Yiwen Ye
Yongsheng Pan
Yong Xia
232
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14 Aug 2024
Robust Domain Generalization for Multi-modal Object Recognition
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Keqin Li
Junhong Lin
Rong Wei
Chufeng Jiang
Yang Luo
Haoyu Yang
VLM
295
28
0
11 Aug 2024
Few-shot Scooping Under Domain Shift via Simulated Maximal Deployment Gaps
Yifan Zhu
Pranay Thangeda
Erica Tevere
Ashish Goel
Erik Kramer
Hari Nayar
Melkior Ornik
Kris K. Hauser
261
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0
06 Aug 2024
Reducing Spurious Correlation for Federated Domain Generalization
Shuran Ma
Weiying Xie
Daixun Li
Haowei Li
Yunsong Li
OOD
FedML
200
2
0
27 Jul 2024
Weighted Risk Invariance: Domain Generalization under Invariant Feature Shift
Gina Wong
Joshua Gleason
Ramalingam Chellappa
Yoav Wald
Anqi Liu
OOD
399
1
0
25 Jul 2024
Learn to Preserve and Diversify: Parameter-Efficient Group with Orthogonal Regularization for Domain Generalization
Jiajun Hu
Jian Zhang
Lei Qi
Yinghuan Shi
Yang Gao
OOD
221
12
0
21 Jul 2024
Adaptive Cascading Network for Continual Test-Time Adaptation
Kien X. Nguyen
Fengchun Qiao
Xi Peng
TTA
CLL
VLM
201
2
0
17 Jul 2024
The Devil is in the Statistics: Mitigating and Exploiting Statistics Difference for Generalizable Semi-supervised Medical Image Segmentation
Muyang Qiu
Jian Zhang
Lei Qi
Qian Yu
Yinghuan Shi
Yang Gao
322
7
0
16 Jul 2024
FairDomain: Achieving Fairness in Cross-Domain Medical Image Segmentation and Classification
Yu Tian
Congcong Wen
Min Shi
Muhammad Muneeb Afzal
Niraj Pudasaini
Muhammad Osama Khan
Yan Luo
Yi Fang
Mengyu Wang
OOD
306
26
0
11 Jul 2024
FDS: Feedback-guided Domain Synthesis with Multi-Source Conditional Diffusion Models for Domain Generalization
Mehrdad Noori
Milad Cheraghalikhani
Ali Bahri
G. A. V. Hakim
David Osowiechi
Moslem Yazdanpanah
Ismail Ben Ayed
Christian Desrosiers
344
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Domain Generalizable Knowledge Tracing via Concept Aggregation and Relation-Based Attention
Yuquan Xie
Wanqi Yang
Jinyu Wei
Ming Yang
Yang Gao
AI4Ed
315
2
0
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Hao Dong
Eleni Chatzi
Olga Fink
235
16
0
01 Jul 2024
Invariant Correlation of Representation with Label: Enhancing Domain Generalization in Noisy Environments
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Ronghui Mu
Xinping Yi
Xiaowei Huang
Lijun Zhang
349
1
0
01 Jul 2024
GM-DF: Generalized Multi-Scenario Deepfake Detection
Yingxin Lai
Zitong Yu
Jing Yang
Bin Li
Xiangui Kang
Linlin Shen
308
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0
28 Jun 2024
Learning Modality Knowledge Alignment for Cross-Modality Transfer
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Shuang Li
Lincan Cai
Jingxuan Kang
267
7
0
27 Jun 2024
Towards Synchronous Memorizability and Generalizability with Site-Modulated Diffusion Replay for Cross-Site Continual Segmentation
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Xi Wang
Jingyang Zhang
Pheng-Ann Heng
MedIm
CLL
377
1
0
26 Jun 2024
Camera-Invariant Meta-Learning Network for Single-Camera-Training Person Re-identification
Jiangbo Pei
Zhuqing Jiang
Aidong Men
Haiying Wang
Haiyong Luo
Shiping Wen
3DPC
285
1
0
21 Jun 2024
Revisiting Spurious Correlation in Domain Generalization
Bin Qin
Jiangmeng Li
Yi Li
Xuesong Wu
Yupeng Wang
Jingyao Wang
Jianwen Cao
CML
304
1
0
17 Jun 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
216
4
0
16 Jun 2024
Multi-source Unsupervised Domain Adaptation on Graphs with Transferability Modeling
Knowledge Discovery and Data Mining (KDD), 2024
Tianxiang Zhao
Dongsheng Luo
Xiang Zhang
Suhang Wang
304
5
0
14 Jun 2024
How Does Distribution Matching Help Domain Generalization: An Information-theoretic Analysis
IEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2024
Yuxin Dong
Tieliang Gong
Hong Chen
Shuangyong Song
Weizhan Zhang
Chen Li
OOD
231
2
0
14 Jun 2024
Enhancing Domain Adaptation through Prompt Gradient Alignment
Hoang Phan
Lam C. Tran
Quyen Tran
Trung Le
571
8
0
13 Jun 2024
FADE: Towards Fairness-aware Generation for Domain Generalization via Classifier-Guided Score-based Diffusion Models
Yujie Lin
Dong Li
Minglai Shao
Guihong Wan
Chen Zhao
336
0
0
13 Jun 2024
Fine-Grained Domain Generalization with Feature Structuralization
Wenlong Yu
Dongyue Chen
Qilong Wang
Qinghua Hu
357
0
0
13 Jun 2024
Causality-inspired Latent Feature Augmentation for Single Domain Generalization
Jian Xu
Chaojie Ji
Yankai Cao
Ye Li
Ruxin Wang
OOD
327
1
0
10 Jun 2024
Domain Generalization Guided by Large-Scale Pre-Trained Priors
Zongbin Wang
Bin Pan
Shiyu Shen
Tianyang Shi
Zhenwei Shi
AI4CE
297
1
0
09 Jun 2024
Feature contamination: Neural networks learn uncorrelated features and fail to generalize
Tianren Zhang
Chujie Zhao
Guanyu Chen
Yizhou Jiang
Feng Chen
OOD
MLT
OODD
439
9
0
05 Jun 2024
Towards a Better Evaluation of Out-of-Domain Generalization
Duhun Hwang
Suhyun Kang
Moonjung Eo
Jimyeong Kim
Wonjong Rhee
417
0
0
30 May 2024
Domain-Inspired Sharpness-Aware Minimization Under Domain Shifts
Ruipeng Zhang
Ziqing Fan
Jiangchao Yao
Ya Zhang
Yanfeng Wang
264
9
0
29 May 2024
Continuous Temporal Domain Generalization
Zekun Cai
Guangji Bai
Renhe Jiang
Xuan Song
Bo Pan
234
10
0
25 May 2024
Grounding Stylistic Domain Generalization with Quantitative Domain Shift Measures and Synthetic Scene Images
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Joshua Forster Feinglass
Tejas Gokhale
Kuan-Cheng Lee
Chitta Baral
Yezhou Yang
191
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Improving Single Domain-Generalized Object Detection: A Focus on Diversification and Alignment
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Muhammad Haris Khan
Muhammad Akhtar Munir
M. Sarfraz
Mohsen Ali
ObjD
215
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23 May 2024
Adapting Large Multimodal Models to Distribution Shifts: The Role of In-Context Learning
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Zhongyi Han
Shiming Chen
Erdun Gao
Liming Zhu
Salman Khan
Xin Gao
Lina Yao
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252
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Domain Generalization for Zero-calibration BCIs with Knowledge Distillation-based Phase Invariant Feature Extraction
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Zheng Zheng
Weihai Chen
Xinzhi Ma
Zhongcai Pei
Xiantao Sun
OOD
153
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0
18 May 2024
Enhanced Online Test-time Adaptation with Feature-Weight Cosine Alignment
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Ruwan Tennakoon
A. Bab-Hadiashar
206
1
0
12 May 2024
Non-stationary Domain Generalization: Theory and Algorithm
Thai-Hoang Pham
Xueru Zhang
Ping Zhang
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280
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0
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PhysMLE: Generalizable and Priors-Inclusive Multi-task Remote Physiological Measurement
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024
Jiyao Wang
Hao Lu
Ange Wang
Xiao Yang
Ying-Cong Chen
Dengbo He
Kaishun Wu
246
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Adapting to Distribution Shift by Visual Domain Prompt Generation
International Conference on Learning Representations (ICLR), 2024
Zhixiang Chi
Li Gu
Tao Zhong
Huan Liu
Yuanhao Yu
Konstantinos N Plataniotis
Yang Wang
VLM
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250
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Soft Prompt Generation for Domain Generalization
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Yuedi Zhang
Wanqi Zhou
Zhirong Luan
Badong Chen
VLM
380
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Shared learning of powertrain control policies for vehicle fleets
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B. Ayalew
Andrej Ivanco
158
2
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Causally Inspired Regularization Enables Domain General Representations
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Oluwasanmi Koyejo
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Semantic-Rearrangement-Based Multi-Level Alignment for Domain Generalized Segmentation
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Chenyangguang Zhang
Haonan Yin
Yu Mo
Biqing Huang
Hui Pan
Yi Luo
Jingxian Liu
332
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MoE-FFD: Mixture of Experts for Generalized and Parameter-Efficient Face Forgery Detection
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Anwei Luo
Song Xia
Yi Yu
Haoliang Li
Zengwei Zheng
Shiqi Wang
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Band-Attention Modulated RetNet for Face Forgery Detection
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Jie Cao
Wenkui Yang
Qihang Fan
Kai Zhou
Ran He
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340
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A Systems Theoretic Approach to Online Machine Learning
IEEE Systems Conference (SysCon), 2024
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Peter A. Beling
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102
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R. Feldt
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290
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