Ohcanbohtosat - "Data augmentation"

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  1. Bearbmagovva

    Where Did Your Model Learn That? Label-free Influence for Self-supervised Learning Dahkki Harilal, Nidhin

    Publikašuvnnas arXiv.org (Dec 22, 2024)
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  2. Bearbmagovva

    Promptable Representation Distribution Learning and Data Augmentation for Gigapixel Histopathology WSI Analysis Dahkki Tang, Kunming

    Publikašuvnnas arXiv.org (Dec 19, 2024)
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  3. Bearbmagovva

    Fed-AugMix: Balancing Privacy and Utility via Data Augmentation Dahkki Li, Haoyang

    Publikašuvnnas arXiv.org (Dec 18, 2024)
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  4. Bearbmagovva

    Federated Learning for Traffic Flow Prediction with Synthetic Data Augmentation Dahkki Orozco, Fermin

    Publikašuvnnas arXiv.org (Dec 11, 2024)
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  5. Bearbmagovva

    A Physics-based Generative Model to Synthesize Training Datasets for MRI-based Fat Quantification Dahkki Meneses, Juan P

    Publikašuvnnas arXiv.org (Dec 11, 2024)
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  6. Bearbmagovva

    Comparative Analysis of Mel-Frequency Cepstral Coefficients and Wavelet Based Audio Signal Processing for Emotion Detection and Mental Health Assessment in Spoken Speech Dahkki Agbo, Idoko

    Publikašuvnnas arXiv.org (Dec 12, 2024)
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  7. Bearbmagovva

    Generative AI-based data augmentation for improved bioacoustic classification in noisy environments Dahkki Gibbons, Anthony

    Publikašuvnnas arXiv.org (Dec 2, 2024)
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  8. Bearbmagovva

    Career Modeling with Missing Data and Traces Dahkki Voldoire, Théo

    Publikašuvnnas arXiv.org (Dec 2, 2024)
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  9. Bearbmagovva

    Diffusion-Augmented Coreset Expansion for Scalable Dataset Distillation Dahkki Abbasi, Ali

    Publikašuvnnas arXiv.org (Dec 5, 2024)
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  10. Bearbmagovva

    VISTA: Enhancing Long-Duration and High-Resolution Video Understanding by Video Spatiotemporal Augmentation Dahkki Ren, Weiming

    Publikašuvnnas arXiv.org (Dec 1, 2024)
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  11. Bearbmagovva

    T-JEPA: Augmentation-Free Self-Supervised Learning for Tabular Data Dahkki Thimonier, Hugo

    Publikašuvnnas arXiv.org (Dec 19, 2024)
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  12. Bearbmagovva

    Understanding and Mitigating Memorization in Diffusion Models for Tabular Data Dahkki Fang, Zhengyu

    Publikašuvnnas arXiv.org (Dec 15, 2024)
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  13. Bearbmagovva

    AMuSeD: An Attentive Deep Neural Network for Multimodal Sarcasm Detection Incorporating Bi-modal Data Augmentation Dahkki Gao, Xiyuan

    Publikašuvnnas arXiv.org (Dec 13, 2024)
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  14. Bearbmagovva

    SE-GCL: An Event-Based Simple and Effective Graph Contrastive Learning for Text Representation Dahkki Meng, Tao

    Publikašuvnnas arXiv.org (Dec 16, 2024)
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  15. Bearbmagovva

    Synthetic Tabular Data Generation for Imbalanced Classification: The Surprising Effectiveness of an Overlap Class Dahkki D'souza, Annie

    Publikašuvnnas arXiv.org (Dec 20, 2024)
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  16. Bearbmagovva

    Graph Community Augmentation with GMM-based Modeling in Latent Space Dahkki Fukushima, Shintaro

    Publikašuvnnas arXiv.org (Dec 2, 2024)
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  17. Bearbmagovva

    Optimizing learning outcomes: a deep dive into hybrid AI models for adaptive educational feedback

    Publikašuvnnas Journal of Big Data (Jun 2025)
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  18. Bearbmagovva

    What Has Been Overlooked in Contrastive Source-Free Domain Adaptation: Leveraging Source-Informed Latent Augmentation within Neighborhood Context Dahkki Wang, Jing

    Publikašuvnnas arXiv.org (Dec 18, 2024)
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  19. Bearbmagovva

    T2Vid: Translating Long Text into Multi-Image is the Catalyst for Video-LLMs Dahkki Yin, Shukang

    Publikašuvnnas arXiv.org (Dec 2, 2024)
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  20. Bearbmagovva

    Enhancing Temporal Understanding in Audio Question Answering for Large Audio Language Models Dahkki Sridhar, Arvind Krishna

    Publikašuvnnas arXiv.org (Dec 13, 2024)
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