Central Moment Discrepancy (CMD) for Domain-Invariant Representation Learning

28 February 2017

Susanne Saminger-Platz

OOD

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Papers citing "Central Moment Discrepancy (CMD) for Domain-Invariant Representation Learning"

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Binary Losses for Density Ratio Estimation Werner Zellinger 56 0 0 28 Jan 2025
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Listening and Seeing Again: Generative Error Correction for Audio-Visual Speech Recognition Rui Liu Hongyu Yuan Hong Li 43 0 0 03 Jan 2025
AdaShadow: Responsive Test-time Model Adaptation in Non-stationary Mobile Environments Cheng Fang Sicong Liu Zimu Zhou Bin Guo Jiaqi Tang Ke Ma Zhiwen Yu TTA 41 1 0 10 Oct 2024
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Generalized Semi-Supervised Learning via Self-Supervised Feature Adaptation Jiachen Liang Ruibing Hou Hong Chang Bingpeng Ma Shiguang Shan Xilin Chen 39 4 0 31 May 2024
Overcoming Saturation in Density Ratio Estimation by Iterated Regularization Lukas Gruber Markus Holzleitner Johannes Lehner Sepp Hochreiter Werner Zellinger 51 1 0 21 Feb 2024
Triple Disentangled Representation Learning for Multimodal Affective Analysis Ying Zhou Xuefeng Liang Han Chen Yin Zhao Xin Chen Lida Yu 52 3 0 29 Jan 2024
Modality-Collaborative Transformer with Hybrid Feature Reconstruction for Robust Emotion Recognition Chengxin Chen Pengyuan Zhang 46 5 0 26 Dec 2023
Oracle Character Recognition using Unsupervised Discriminative Consistency Network Mei Wang Weihong Deng Sen Su 33 7 0 11 Dec 2023
Modality-invariant and Specific Prompting for Multimodal Human Perception Understanding Hao Sun Ziwei Niu Xinyao Yu Jiaqing Liu Yen-Wei Chen Lanfen Lin 29 0 0 17 Nov 2023
Neural domain alignment for spoken language recognition based on optimal transport Xugang Lu Peng Shen Yu Tsao Hisashi Kawai OT 33 0 0 20 Oct 2023
Towards Real-World Test-Time Adaptation: Tri-Net Self-Training with Balanced Normalization Yongyi Su Xun Xu Kui Jia TTA 84 24 0 26 Sep 2023
Prototypical Cross-domain Knowledge Transfer for Cervical Dysplasia Visual Inspection Yichen Zhang Yifang Yin Ying Zhang Zhenguang Liu Zheng Wang Roger Zimmermann 36 2 0 19 Aug 2023
Teacher-Student Architecture for Knowledge Distillation: A Survey Chengming Hu Xuan Li Danyang Liu Haolun Wu Xi Chen Ju Wang Xue Liu 23 16 0 08 Aug 2023
Individual and Structural Graph Information Bottlenecks for Out-of-Distribution Generalization Ling Yang Jiayi Zheng Heyuan Wang Zhongyi Liu Zhilin Huang Shenda Hong Wentao Zhang Tengjiao Wang 34 13 0 28 Jun 2023
Focus on Your Target: A Dual Teacher-Student Framework for Domain-adaptive Semantic Segmentation Xinyue Huo Lingxi Xie Wen-gang Zhou Houqiang Li Qi Tian 31 8 0 16 Mar 2023
DAFD: Domain Adaptation via Feature Disentanglement for Image Classification Zhize Wu Changjiang Du Lekang Zou Ming Tan Tong Xu Fan-Ning Cheng Fudong Nian T. Weise 27 2 0 30 Jan 2023
Personalised Federated Learning On Heterogeneous Feature Spaces A. Rakotomamonjy Maxime Vono H. M. Ruiz L. Ralaivola FedML 20 8 0 26 Jan 2023
MADAv2: Advanced Multi-Anchor Based Active Domain Adaptation Segmentation Munan Ning Donghuan Lu Yujia Xie Dongdong Chen Dong Wei Yefeng Zheng Yonghong Tian Shuicheng Yan Liuliang Yuan 35 9 0 18 Jan 2023
Video Test-Time Adaptation for Action Recognition Wei Lin M. Jehanzeb Mirza Mateusz Koziñski Horst Possegger Hilde Kuehne Horst Bischof TTA 47 31 0 24 Nov 2022
ActMAD: Activation Matching to Align Distributions for Test-Time-Training M. Jehanzeb Mirza Pol Jané Soneira W. Lin Mateusz Koziñski Horst Possegger Horst Bischof VLM TTA 36 24 0 23 Nov 2022
MATE: Masked Autoencoders are Online 3D Test-Time Learners M. Jehanzeb Mirza Inkyu Shin Wei Lin Andreas Schriebl Kunyang Sun ... Horst Possegger Mateusz Koziñski In So Kweon Kun-Jin Yoon Horst Bischof TTA 3DPC 41 15 0 21 Nov 2022
Empowering Graph Representation Learning with Test-Time Graph Transformation Wei Jin Tong Zhao Jiayu Ding Yozen Liu Jiliang Tang Neil Shah OOD 86 61 0 07 Oct 2022
Progressive Domain Adaptation with Contrastive Learning for Object Detection in the Satellite Imagery Debojyoti Biswas Jelena Tevsić ObjD 19 4 0 06 Sep 2022
Adversarial Feature Augmentation for Cross-domain Few-shot Classification Yan Hu A. J. Ma 36 47 0 23 Aug 2022
Non-Parametric Style Transfer Jeong-Sik Lee Hyun-Chul Choi OOD 23 0 0 26 Jun 2022
PAC-Net: A Model Pruning Approach to Inductive Transfer Learning Sanghoon Myung I. Huh Wonik Jang Jae Myung Choe Jisu Ryu Daesin Kim Kee-Eung Kim C. Jeong 32 13 0 12 Jun 2022
Searching for Optimal Subword Tokenization in Cross-domain NER Ruotian Ma Yiding Tan Xin Zhou Xuanting Chen Di Liang Sirui Wang Wei Wu Tao Gui Qi Zhang OOD 64 14 0 07 Jun 2022
Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering Yongyi Su Xun Xu Kui Jia TTA OOD 32 46 0 06 Jun 2022
ProxyMix: Proxy-based Mixup Training with Label Refinery for Source-Free Domain Adaptation Yuhe Ding Lijun Sheng Jian Liang A. Zheng Ran He 47 47 0 29 May 2022
Deep face recognition with clustering based domain adaptation Mei Wang Weihong Deng OOD 3DH CVBM 50 49 0 27 May 2022
Unsupervised Structure-Texture Separation Network for Oracle Character Recognition Mei Wang Weihong Deng Chenguang Liu 62 25 0 13 May 2022
Exact Feature Distribution Matching for Arbitrary Style Transfer and Domain Generalization Yabin Zhang Minghan Li Ruihuang Li Kui Jia Lei Zhang OOD 26 162 0 15 Mar 2022
Bridging the Gap Between Patient-specific and Patient-independent Seizure Prediction via Knowledge Distillation Di Wu Jie Yang Mohamad Sawan FedML 45 21 0 25 Feb 2022
BP-Triplet Net for Unsupervised Domain Adaptation: A Bayesian Perspective Shanshan Wang Lei Zhang Pichao Wang 41 23 0 19 Feb 2022
Domain Adaptation via Prompt Learning Chunjiang Ge Rui Huang Mixue Xie Zihang Lai Shiji Song Shuang Li Gao Huang VPVLM VLM 36 144 0 14 Feb 2022
Transferability in Deep Learning: A Survey Junguang Jiang Yang Shu Jianmin Wang Mingsheng Long OOD 34 101 0 15 Jan 2022
Boosting Unsupervised Domain Adaptation with Soft Pseudo-label and Curriculum Learning Shengjia Zhang Tiancheng Lin Yi Tian Xu 30 5 0 03 Dec 2021
Towards Robust and Adaptive Motion Forecasting: A Causal Representation Perspective Yuejiang Liu Riccardo Cadei Jonas Schweizer Sherwin Bahmani Alexandre Alahi OOD TTA 38 51 0 29 Nov 2021
Self-supervised Autoregressive Domain Adaptation for Time Series Data Mohamed Ragab Emadeldeen Eldele Zhenghua Chen Min-man Wu C. Kwoh Xiaoli Li AI4TS 32 49 0 29 Nov 2021
Interpreting Deep Learning Models in Natural Language Processing: A Review Xiaofei Sun Diyi Yang Xiaoya Li Tianwei Zhang Yuxian Meng Han Qiu Guoyin Wang Eduard H. Hovy Jiwei Li 19 45 0 20 Oct 2021
Domain Adaptation by Maximizing Population Correlation with Neural Architecture Search Zhixiong Yue Pengxin Guo Yu Zhang 25 1 0 12 Sep 2021
Automatic Online Multi-Source Domain Adaptation Renchunzi Xie Mahardhika Pratama 19 15 0 05 Sep 2021
Partial Domain Adaptation without Domain Alignment Weikai Li Songcan Chen 37 13 0 29 Aug 2021
Fine-grained Domain Adaptive Crowd Counting via Point-derived Segmentation Yongtuo Liu Dan Xu Sucheng Ren Han-Zhen Wu Hongmin Cai Shengfeng He 42 10 0 06 Aug 2021
Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data Qi Zhu Natalia Ponomareva Jiawei Han Bryan Perozzi OOD 30 106 0 02 Aug 2021
Multiple Classifiers Based Maximum Classifier Discrepancy for Unsupervised Domain Adaptation Yiju Yang Taejoon Kim Guanghui Wang 49 2 0 02 Aug 2021