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TMLR Group

Trustworthy Machine Learning and Reasoning Group
README.md

Trustworthy Machine Learning and Reasoning (TMLR) Group, an online-offline-mixed machine learning research group, locates in different cities, including Hong Kong, Melbourne, Shanghai, Nottingham and Sydney. We share the vision for the future ML technology: building trustworthy learning and reasoning algorithms, theories and systems.

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  1. ConV ConV Public

    Forked from junz-debug/ConV

    [NeurIPS 2025 Spotlight] "Detecting Generated Images by Fitting Natural Image Distributions"

    Python 4

  2. AlignMI AlignMI Public

    [NeurIPS 2025] "Generative Model Inversion Through the Lens of the Manifold Hypothesis"

    Python 2

  3. AR-Bench AR-Bench Public

    [ICML 2025] "From Passive to Active Reasoning: Can Large Language Models Ask the Right Questions under Incomplete Information?"

    Python 49 2

  4. DAD DAD Public

    Forked from JiachengZ01/DAD

    [ICML 2025] "One Stone, Two Birds: Enhancing Adversarial Defense Through the Lens of Distributional Discrepancy"

    Python 2

  5. G-effect G-effect Public

    Forked from QizhouWang/G-effect

    [ICLR 2025] "Rethinking LLM Unlearning Objectives: A Gradient Perspective and Go Beyond"

    Python 14 2

  6. AttrVR AttrVR Public

    Forked from caichengyi/AttrVR

    [ICLR 2025] "Attribute-based Visual Reprogramming for Vision-Language Models" Official Website: https://github.com/tmlr-group/AttrVR

    Python 3

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