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    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/156616


    Title: 深度自動不變量之研究及其應用
    Deep Auto-Invariants and Their Applications
    Authors: 蔡炎龍
    Contributors: 應數系
    Keywords: 深度學習;自動不變量;自動嵌入;流形學習;流形重建;熱帶幾何;表現學習;自監督式學習;對比學習;非對比學習;碎形 p 進位表現;可解釋性人工智慧
    deep learning;auto-invariants;auto-embeddings;manifold learning;manifold reconstruction;tropical geometry;representation learning;self-supervised learning;contrastive learning;non-contrastive learning;fractal p-adic representation;explainable AI
    Date: 2024-10
    Issue Date: 2025-04-16 14:28:22 (UTC+8)
    Abstract: 本計畫研究現今常熱門的自監督式學習中, 對比學習的方法。我們視為這是一種自動尋找不變量的方式, 其中背後的數學原理也有許多待釐清的部份, 也是我們著力的方向。再者, 目前對比學習較多的研究是在圖形數據資料上, 我們的研究希望能找到適合的方式, 讓對比學習也能運用在更多的數據型式, 尤其是時間序列型態的數據資料。
    Relation: 國家科學及技術委員會, NSTC111-2115-M004-003-MY2, 111.08-113.07
    Data Type: report
    Appears in Collections:[應用數學系] 國科會研究計畫

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