Suchergebnisse - Continual Learning Online Learning Diffusion Model

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

“… Online Task-Free Continual Learning (OTFCL) aims to learn novel concepts from streaming data without accessing task information …”
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Misinformation mitigation in online social networks using continual learning with graph neural networks von Merini, Hichem, Hosni, Adil Imad Eddine, Beghdad Bey, Kadda, Lomonaco, Vincenzo, Podda, Marco, Baira, Islem

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

“… We update the target data instead, and project all test inputs toward the source domain with a generative diffusion model …”
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Synthetic Data is an Elegant GIFT for Continual Vision-Language Models von Wu, Bin, Shi, Wuxuan, Wang, Jinqiao, Ye, Mang

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

“… •A novel teacher-student framework for lifelong generative modeling undet Task-Free Continual Learning …”
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SDDGR: Stable Diffusion-Based Deep Generative Replay for Class Incremental Object Detection von Kim, Junsu, Cho, Hoseong, Kim, Jihyeon, Tiruneh, Yihalem Yimolal, Baek, Seungryul

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

“… To mitigate the above problems, we propose a continual diffusion model that uses gradient projection to achieve stable continual learning …”
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Continual Information Cascade Learning von Zhou, Fan, Jing, Xin, Xu, Xovee, Zhong, Ting, Trajcevski, Goce, Wu, Jin

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

“… 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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Distributed Adaptive Learning Under Communication Constraints von Carpentiero, Marco, Matta, Vincenzo, Sayed, Ali H.

“… We consider a network of agents that must solve an online optimization problem from continual observation of streaming data …”
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Dealing with Synthetic Data Contamination in Online Continual Learning von Wang, Maorong, Michel, Nicolas, Mao, Jiafeng, Yamasaki, Toshihiko

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

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

“… The onset of COVID-19 has triggered the mass diffusion of information technology-backed services globally …”
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Synthetic and Augmented Data Methods for Deep Learning-Based Plant Disease Detection Models von Mehta, Kiran

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

“… 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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AI: A Prelude to Opportunities, Challenges, and Possibilities von Hwang, Jennie S

“… Since November 2022, the release of ChatGPT and Generative AI (conversational AI), particularly GPT-4 large language model …”
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Appropriating Technology: Vernacular Science and Social Power von Bendor, Roy

“… ). 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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