Moment Matching for Multi-Source Domain Adaptation

4 December 2018

Papers citing "Moment Matching for Multi-Source Domain Adaptation"

50 / 1,085 papers shown

Title
NormAUG: Normalization-guided Augmentation for Domain Generalization Lei Qi Hongpeng Yang Yinghuan Shi Xin Geng OOD 30 11 0 25 Jul 2023
On the Connection between Pre-training Data Diversity and Fine-tuning Robustness Vivek Ramanujan Thao Nguyen Sewoong Oh Ludwig Schmidt Ali Farhadi OOD 14 21 0 24 Jul 2023
Cross Contrasting Feature Perturbation for Domain Generalization Chenming Li Daoan Zhang Wen-Fong Huang Jiang Zhang OOD 21 17 0 24 Jul 2023
Divide and Adapt: Active Domain Adaptation via Customized Learning Duojun Huang Jichang Li Weikai Chen Jun Steed Huang Z. Chai Guanbin Li 34 25 0 21 Jul 2023
Flatness-Aware Minimization for Domain Generalization Xingxuan Zhang Renzhe Xu Han Yu Yancheng Dong Pengfei Tian Peng Cu 16 20 0 20 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 89 1 0 17 Jul 2023
PseudoCal: A Source-Free Approach to Unsupervised Uncertainty Calibration in Domain Adaptation Dapeng Hu Jian Liang Xinchao Wang Chuan-Sheng Foo 20 0 0 14 Jul 2023
DISPEL: Domain Generalization via Domain-Specific Liberating Chia-Yuan Chang Yu-Neng Chuang Guanchu Wang Mengnan Du Zou Na 18 6 0 14 Jul 2023
Layer-wise Linear Mode Connectivity Linara Adilova Maksym Andriushchenko Michael Kamp Asja Fischer Martin Jaggi FedML FAtt MoMe 30 15 0 13 Jul 2023
Large Class Separation is not what you need for Relational Reasoning-based OOD Detection L. Lu Giulia DÁscenzi Francesco Cappio Borlino Tatiana Tommasi OODD 25 1 0 12 Jul 2023
Single Domain Generalization via Normalised Cross-correlation Based Convolutions Weiqin Chuah Ruwan Tennakoon R. Hoseinnezhad David Suter A. Bab-Hadiashar OOD 24 3 0 12 Jul 2023
MoP-CLIP: A Mixture of Prompt-Tuned CLIP Models for Domain Incremental Learning Julien Nicolas Florent Chiaroni Imtiaz Masud Ziko Ola Ahmad Christian Desrosiers Jose Dolz VLM CLL 28 5 0 11 Jul 2023
Unsupervised Domain Adaptation with Deep Neural-Network Artem Bituitskii OOD 17 0 0 10 Jul 2023
Probabilistic Test-Time Generalization by Variational Neighbor-Labeling Sameer Ambekar Zehao Xiao Jiayi Shen Xiantong Zhen Cees G. M. Snoek BDL OOD 30 1 0 08 Jul 2023
Universal Semi-supervised Model Adaptation via Collaborative Consistency Training Zizheng Yan Yushuang Wu Yipeng Qin Xiaoguang Han Shuguang Cui Guanbin Li 30 1 0 07 Jul 2023
Achieving Reliable and Fair Skin Lesion Diagnosis via Unsupervised Domain Adaptation Janet Wang Yunbei Zhang Zhengming Ding Jihun Hamm 17 5 0 06 Jul 2023
Benchmarking Test-Time Adaptation against Distribution Shifts in Image Classification Yongcan Yu Lijun Sheng R. He Jian Liang OOD VLM TTA 33 15 0 06 Jul 2023
RanPAC: Random Projections and Pre-trained Models for Continual Learning Mark D Mcdonnell Dong Gong Amin Parvaneh Ehsan Abbasnejad A. Hengel VLM CLL 27 95 0 05 Jul 2023
FREEDOM: Target Label & Source Data & Domain Information-Free Multi-Source Domain Adaptation for Unsupervised Personalization Eunju Yang Gyusang Cho Chan-Hyun Youn TTA 27 1 0 04 Jul 2023
Domain Transfer Through Image-to-Image Translation for Uncertainty-Aware Prostate Cancer Classification Meng Zhou A. Jamzad J. Izard A. Menard R. Siemens P. Mousavi MedIm 43 0 0 02 Jul 2023
Towards Brain Inspired Design for Addressing the Shortcomings of ANNs F. Sarfraz Elahe Arani Bahram Zonooz 17 1 0 30 Jun 2023
Exploration and Exploitation of Unlabeled Data for Open-Set Semi-Supervised Learning Ganlong Zhao Guanbin Li Yipeng Qin Jinjin Zhang Z. Chai Xiaolin K. Wei Liang Lin Yizhou Yu 32 1 0 30 Jun 2023
Cross-Inferential Networks for Source-free Unsupervised Domain Adaptation Yushun Tang Qinghai Guo Z. He OOD 20 5 0 29 Jun 2023
Federated Generative Learning with Foundation Models Jie M. Zhang Xiaohua Qi Bo-Lu Zhao FedML 39 21 0 28 Jun 2023
SLACK: Stable Learning of Augmentations with Cold-start and KL regularization Juliette Marrie Michael Arbel Diane Larlus Julien Mairal OffRL 36 4 0 16 Jun 2023
What can a cook in Italy teach a mechanic in India? Action Recognition Generalisation Over Scenarios and Locations Chiara Plizzari Toby Perrett Barbara Caputo Dima Damen EgoV 13 16 0 14 Jun 2023
A Simple Data Augmentation for Feature Distribution Skewed Federated Learning Yu-Hu Yan Lei Zhu FedML OOD 27 10 0 14 Jun 2023
Taxonomy-Structured Domain Adaptation Tianyi Liu Zihao Xu Hao He Guang-Yuan Hao Guang-He Lee Hao Wang TTA OOD 44 7 0 13 Jun 2023
Partial Identifiability for Domain Adaptation Lingjing Kong Shaoan Xie Weiran Yao Yujia Zheng Guan-Hong Chen P. Stojanov Victor Akinwande Kun Zhang 48 8 0 10 Jun 2023
FedWon: Triumphing Multi-domain Federated Learning Without Normalization Weiming Zhuang Lingjuan Lyu 19 9 0 09 Jun 2023
Regularizing with Pseudo-Negatives for Continual Self-Supervised Learning Sungmin Cha Kyunghyun Cho Taesup Moon BDL CLL 23 2 0 08 Jun 2023
Test-Time Style Shifting: Handling Arbitrary Styles in Domain Generalization Jun-Gyu Park Dong-Jun Han Soyeong Kim Jaekyun Moon OOD TTA 16 12 0 08 Jun 2023
Soft Merging of Experts with Adaptive Routing Mohammed Muqeeth Haokun Liu Colin Raffel MoMe MoE 27 45 0 06 Jun 2023
On Pitfalls of Test-Time Adaptation Hao Zhao Yuejiang Liu Alexandre Alahi Tao R. Lin TTA 29 39 0 06 Jun 2023
Continual Learning with Pretrained Backbones by Tuning in the Input Space Simone Marullo Matteo Tiezzi Marco Gori S. Melacci Tinne Tuytelaars CLL 22 2 0 05 Jun 2023
Explore and Exploit the Diverse Knowledge in Model Zoo for Domain Generalization Yimeng Chen Tianyang Hu Fengwei Zhou Zhenguo Li Zhiming Ma 20 12 0 05 Jun 2023
Domain Generalization for Domain-Linked Classes Kimathi Kaai Saad Hossain Sirisha Rambhatla OOD AI4CE 19 0 0 01 Jun 2023
Universal Test-time Adaptation through Weight Ensembling, Diversity Weighting, and Prior Correction Robert A. Marsden Mario Döbler Bin Yang TTA 22 30 0 01 Jun 2023
FACT: Federated Adversarial Cross Training Stefan Schrod Jonas Lippl Andreas Schäfer Michael Altenbuchinger FedML HILM 11 3 0 01 Jun 2023
(Almost) Provable Error Bounds Under Distribution Shift via Disagreement Discrepancy Elan Rosenfeld Saurabh Garg UQCV 32 4 0 01 Jun 2023
Building Manufacturing Deep Learning Models with Minimal and Imbalanced Training Data Using Domain Adaptation and Data Augmentation A. Li Elisa Bertino Rih-Teng Wu Ting Wu 18 4 0 31 May 2023
LANCE: Stress-testing Visual Models by Generating Language-guided Counterfactual Images Viraj Prabhu Sriram Yenamandra Prithvijit Chattopadhyay Judy Hoffman 22 37 0 30 May 2023
Can We Evaluate Domain Adaptation Models Without Target-Domain Labels? Jianfei Yang Hanjie Qian Yuecong Xu Kai Wang Lihua Xie 28 9 0 30 May 2023
pFedSim: Similarity-Aware Model Aggregation Towards Personalized Federated Learning Jiahao Tan Yipeng Zhou Gang Liu Jessie Hui Wang Shui Yu FedML 22 13 0 25 May 2023
Meta Adaptive Task Sampling for Few-Domain Generalization Zheyan Shen Han Yu Peng Cui Jiashuo Liu Xingxuan Zhang Linjun Zhou Furui Liu OOD 19 1 0 25 May 2023
Rethinking the Evaluation Protocol of Domain Generalization Han Yu Xingxuan Zhang Renzhe Xu Jiashuo Liu Yue He Peng Cui OOD 24 7 0 24 May 2023
Non-adversarial Robustness of Deep Learning Methods for Computer Vision Gorana Gojić V. Vincan O. Kundacina D. Mišković Dinu Dragan OOD 19 4 0 24 May 2023
Target-Aware Generative Augmentations for Single-Shot Adaptation Kowshik Thopalli Rakshith Subramanyam P. Turaga Jayaraman J. Thiagarajan TTA 37 5 0 22 May 2023
POEM: Polarization of Embeddings for Domain-Invariant Representations Sang-Yeong Jo Sung Whan Yoon 19 8 0 22 May 2023
On the Trade-off of Intra-/Inter-class Diversity for Supervised Pre-training Jieyu Zhang Bohan Wang Zhengyu Hu Pang Wei Koh Alexander Ratner 25 10 0 20 May 2023