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@OptMN-Lab

OptMN-Lab

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  1. FairGrad FairGrad Public

    Official implementation of "Fair Resource Allocation in Multi-Task Learning" [ICML 2024]

    Python 14 2

  2. LDC-MTL LDC-MTL Public

    Official implementation of Scalable Bilevel Loss Balancing for Multi-Task Learning.

    Python 7

  3. SDMGrad SDMGrad Public

    Official implementation of "Direction-Oriented Multi-Objective Learning: Simple and Provable Stochastic Algorithms" [NeurIPS 2023]

    Python 6 3

  4. TFBO TFBO Public

    Official implementation of "Tuning-Free Bilevel Optimization: New Algorithms and Convergence Analysis" [ICLR 2025]

    Python 4 1

  5. ALoRA ALoRA Public

    Official implementation of "Rethinking Parameter Sharing for LLM Fine-Tuning with Multiple LoRAs"

    Python 3 1

  6. SAMO SAMO Public

    Official implementation of "SAMO: A Lightweight Sharpness-Aware Approach for Multi-Task Optimization with Joint Global-Local Perturbation" [ICCV 2025]

    Python 2 2

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