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@LINs-lab LINs Lab @ Westlake University

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    16 repositories

    • LINs-lab.github.io

      Public
      JavaScript
      •
      MIT License
      •0•1•0•0•Updated Nov 4, 2024Nov 4, 2024

    • CollabEdit

      Public
      [Preprint] CollabEdit: Towards Non-destructive Collaborative Knowledge Editing
      Python
      •
      MIT License
      •0•8•0•0•Updated Nov 4, 2024Nov 4, 2024

    • cluster_tutorial

      Public
      1•8•0•0•Updated Oct 15, 2024Oct 15, 2024

    • Research_Methodology_of_Computer_Science_and_Technology

      Public
      Graduate Course at Westlake University
      1•32•0•0•Updated Oct 15, 2024Oct 15, 2024

    • ELICIT

      Public
      [Preprint] ELICIT: LLM Augmentation Via External In-context Capability
      0•3•0•0•Updated Oct 12, 2024Oct 12, 2024

    • awesome_tutorials

      Public
      0•0•0•0•Updated Sep 10, 2024Sep 10, 2024

    • DynMoE

      Public
      [Preprint] Dynamic Mixture of Experts: An Auto-Tuning Approach for Efficient Transformer Models
      moelanguage-modelmixture-of-expertsadaptive-computationdynamic-neural-networkmultimodal-large-language-models
      Python
      •
      Apache License 2.0
      •8•49•0•0•Updated Aug 21, 2024Aug 21, 2024

    • awesome_papers

      Public
      0•5•0•0•Updated Aug 9, 2024Aug 9, 2024

    • CapaBoost

      Public
      [ICLR 2024] Increasing Model Capacity for Free: A Simple Strategy for Parameter Efficient Fine-tuning
      Python
      •
      Apache License 2.0
      •0•8•0•0•Updated Jul 3, 2024Jul 3, 2024

    • FedRC

      Public
      [ICML 2024] FedRC: Tackling Diverse Distribution Shifts Challenge in Federated Learning by Robust Clustering
      federated-learning
      Python
      •
      Apache License 2.0
      •0•4•0•0•Updated Jun 19, 2024Jun 19, 2024

    • ReLA

      Public
      [Preprint] Efficiency for Free: Ideal Data Are Transportable Representations
      0•9•0•0•Updated May 27, 2024May 27, 2024

    • RDED

      Public
      [CVPR 2024] On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm
      Python
      •
      Apache License 2.0
      •3•52•1•0•Updated Apr 28, 2024Apr 28, 2024

    • ttab

      Public
      [ICML23] On Pitfalls of Test-Time Adaptation
      test-time-adaptationsource-free-domain-adaptation
      Python
      •
      Apache License 2.0
      •9•103•0•0•Updated Apr 6, 2024Apr 6, 2024

    • M3

      Public
      [ICLR 2024] Towards Robust Multi-Modal Reasoning via Model Selection
      Python
      •
      Apache License 2.0
      •1•9•0•0•Updated Mar 7, 2024Mar 7, 2024

    • FedBR

      Public
      [ICML 2023] FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction
      Python
      •
      Apache License 2.0
      •1•25•0•0•Updated Mar 7, 2024Mar 7, 2024

    • FedTHE

      Public
      [ICLR 2023] Test-time Robust Personalization for Federated Learning
      test-time-adaptationood-robustnessfederated-learning
      Jupyter Notebook
      •
      Apache License 2.0
      •4•52•0•0•Updated Aug 15, 2023Aug 15, 2023