Search Results - Continual Learning Online Learning Diffusion Model

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  1. 1

    Online Task-Free Continual Generative and Discriminative Learning via Dynamic Cluster Memory by Ye, Fei, Bors, Adrian G.

    ISSN: 1063-6919
    Published: IEEE 16.06.2024
    “…Online Task-Free Continual Learning (OTFCL) aims to learn novel concepts from streaming data without accessing task information…”
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    Conference Proceeding
  2. 2

    Misinformation mitigation in online social networks using continual learning with graph neural networks by Merini, Hichem, Hosni, Adil Imad Eddine, Beghdad Bey, Kadda, Lomonaco, Vincenzo, Podda, Marco, Baira, Islem

    ISSN: 2468-6964, 2468-6964
    Published: Elsevier B.V 01.12.2025
    Published in Online social networks and media (01.12.2025)
    “… Existing rumor influence minimization strategies predominantly rely on static models or specific diffusion mechanisms, restricting their ability to dynamically adapt to the evolving nature of misinformation…”
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    Journal Article
  3. 3

    Back to the Source: Diffusion-Driven Adaptation to Test-Time Corruption by Gao, Jin, Zhang, Jialing, Liu, Xihui, Darrell, Trevor, Shelhamer, Evan, Wang, Dequan

    ISSN: 1063-6919
    Published: IEEE 01.06.2023
    “… We update the target data instead, and project all test inputs toward the source domain with a generative diffusion model…”
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    Conference Proceeding
  4. 4

    Synthetic Data is an Elegant GIFT for Continual Vision-Language Models by Wu, Bin, Shi, Wuxuan, Wang, Jinqiao, Ye, Mang

    ISSN: 1063-6919
    Published: IEEE 10.06.2025
    “…Pre-trained Vision-Language Models (VLMs) require Continual Learning (CL) to efficiently update their knowledge and adapt to various downstream tasks without retraining from scratch…”
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    Conference Proceeding
  5. 5

    Task-free continual generative modelling via dynamic teacher-student framework by Ye, Fei, Bors, Adrian G.

    ISSN: 0957-4174
    Published: Elsevier Ltd 01.03.2026
    Published in Expert systems with applications (01.03.2026)
    “…•A novel teacher-student framework for lifelong generative modeling undet Task-Free Continual Learning…”
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    Journal Article
  6. 6

    SDDGR: Stable Diffusion-Based Deep Generative Replay for Class Incremental Object Detection by Kim, Junsu, Cho, Hoseong, Kim, Jihyeon, Tiruneh, Yihalem Yimolal, Baek, Seungryul

    ISSN: 1063-6919
    Published: IEEE 16.06.2024
    “… In this paper, we propose a novel approach called stable diffusion deep generative replay (SDDGR) for CIOD. Our method utilizes a diffusion-based generative model with pre…”
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    Conference Proceeding
  7. 7

    One-for-More: Continual Diffusion Model for Anomaly Detection by Li, Xiaofan, Tan, Xin, Chen, Zhuo, Zhang, Zhizhong, Zhang, Ruixin, Guo, Rizen, Jiang, Guanna, Chen, Yulong, Qu, Yanyun, Ma, Lizhuang, Xie, Yuan

    ISSN: 1063-6919
    Published: IEEE 10.06.2025
    “… To mitigate the above problems, we propose a continual diffusion model that uses gradient projection to achieve stable continual learning…”
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    Conference Proceeding
  8. 8

    Continual Information Cascade Learning by Zhou, Fan, Jing, Xin, Xu, Xovee, Zhong, Ting, Trajcevski, Goce, Wu, Jin

    ISSN: 2576-6813
    Published: IEEE 01.12.2020
    “… in the machine learning approaches used for modeling and predicting cascades. To remedy this issue, we propose a novel dynamic information diffusion model CICP…”
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    Conference Proceeding
  9. 9

    Distribution Shift Inversion for Out-of-Distribution Prediction by Yu, Runpeng, Liu, Songhua, Yang, Xingyi, Wang, Xinchao

    ISSN: 1063-6919
    Published: IEEE 01.06.2023
    “…Machine learning society has witnessed the emergence of a myriad of Out-of-Distribution (OoD) algorithms, which address the distribution shift…”
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    Conference Proceeding
  10. 10

    Distributed Adaptive Learning Under Communication Constraints by Carpentiero, Marco, Matta, Vincenzo, Sayed, Ali H.

    ISSN: 2644-1322, 2644-1322
    Published: New York IEEE 01.01.2024
    Published in IEEE open journal of signal processing (01.01.2024)
    “…We consider a network of agents that must solve an online optimization problem from continual observation of streaming data…”
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    Journal Article
  11. 11

    Dealing with Synthetic Data Contamination in Online Continual Learning by Wang, Maorong, Michel, Nicolas, Mao, Jiafeng, Yamasaki, Toshihiko

    ISSN: 2331-8422
    Published: Ithaca Cornell University Library, arXiv.org 21.11.2024
    Published in arXiv.org (21.11.2024)
    “…Image generation has shown remarkable results in generating high-fidelity realistic images, in particular with the advancement of diffusion-based models…”
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    Paper
  12. 12

    Semi-Process Noise Distillation for Continual Mixture-of-Experts Diffusion Models by Cheng, Jiaxiang, Liu, Yiming, Long, Bo, Wu, Zhihao, He, Liang, Wang, Tian

    ISSN: 2688-0938
    Published: IEEE 01.11.2024
    Published in Chinese Automation Congress (Online) (01.11.2024)
    “… We name it as catastrophic forgetting of diffusion models. To address this challenge, we propose the NDE-Diff, a method that supports diffusion models trained in continual learning scenarios…”
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    Conference Proceeding
  13. 13

    Usage Intention of e-Learning Systems in Ghanaian Tertiary Institutions: A Case Study of the University for Development Studies by Dramani, Isaac Elijah, Tang, Zhiwei, Coffie, Cephas Paa Kwasi

    ISSN: 2071-1050, 2071-1050
    Published: Basel MDPI AG 01.06.2022
    Published in Sustainability (01.06.2022)
    “…The onset of COVID-19 has triggered the mass diffusion of information technology-backed services globally…”
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    Journal Article
  14. 14

    Synthetic and Augmented Data Methods for Deep Learning-Based Plant Disease Detection Models by Mehta, Kiran

    ISBN: 9798265432742
    Published: ProQuest Dissertations & Theses 01.01.2026
    “…Deep learning models for plant disease detection often achieve high accuracy on datasets collected under laboratory conditions but perform less effectively on real-world…”
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    Dissertation
  15. 15

    Emulating Complex Synapses Using Interlinked Proton Conductors by Zhang, Lifu, Ji-An, Li, Hu, Yang, Jiang, Jie, Lai, Rongjie, Benna, Marcus K, Shi, Jian

    ISSN: 2331-8422
    Published: Ithaca Cornell University Library, arXiv.org 26.01.2024
    Published in arXiv.org (26.01.2024)
    “… the true power of brain-like computing. To address catastrophic forgetting in the context of online memory storage, a complex synapse model…”
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    Paper
  16. 16

    AI: A Prelude to Opportunities, Challenges, and Possibilities by Hwang, Jennie S

    Published: Seaside BR Publishing, Inc 01.10.2023
    Published in SMT (Online) (01.10.2023)
    “… Since November 2022, the release of ChatGPT and Generative AI (conversational AI), particularly GPT-4 large language model…”
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    Trade Publication Article
  17. 17

    Appropriating Technology: Vernacular Science and Social Power by Bendor, Roy

    ISSN: 0705-3657, 1499-6642
    Published: Toronto University of Toronto Press 23.10.2006
    Published in Canadian journal of communication (23.10.2006)
    “…). From accounts of technologically savvy hip-hop 'scratch' techniques, learning experiences of inner-city African American women enrolled in a computer course for the very first time, the impact…”
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    Journal Article Book Review