jiaconghu / Model-LEGO
Model LEGO: Creating Models Like Disassembling and Assembling Building Blocks
☆16Updated 2 months ago
Alternatives and similar repositories for Model-LEGO:
Users that are interested in Model-LEGO are comparing it to the libraries listed below
- Transformer Doctor: Diagnosing and Treating Vision Transformers☆10Updated 2 months ago
- Model Doctor: A Simple Gradient Aggregation Strategy for Diagnosing and Treating CNN Classifiers [https://arxiv.org/pdf/2112.04934.pdf]☆15Updated last year
- A Survey of Direct Preference Optimization (DPO)☆28Updated 2 weeks ago
- FusionBench: A Comprehensive Benchmark/Toolkit of Deep Model Fusion☆119Updated 2 weeks ago
- ☆20Updated 7 months ago
- [ICLR 2024] Dynamic Neural Response Tuning☆15Updated 3 weeks ago
- ☆10Updated last year
- Benchmark for Hetergeneous Federated Learning by MARS Group at the Wuhan University, led by Prof. Mang Ye.☆17Updated last year
- OOD Generalization相关文章的阅读笔记☆32Updated 3 months ago
- Self-Supervised Dataset Distillation for Transfer Learning☆13Updated 11 months ago
- Multimodal Large Language Model (MLLM) Tuning Survey: Keeping Yourself is Important in Downstream Tuning Multimodal Large Language Model☆50Updated 3 weeks ago
- [NeurIPS 2024] For paper Parameter Competition Balancing for Model Merging☆36Updated 5 months ago
- [ICLR 2023] "Combating Exacerbated Heterogeneity for Robust Models in Federated Learning"☆32Updated last year
- [ICLR 2023] Test-time Robust Personalization for Federated Learning☆53Updated last year
- Benchmark for federated noisy label learning☆23Updated 7 months ago
- FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion (NeurIPS 2024 Spotlight)☆12Updated 5 months ago
- Towards Addressing Label Skews in One-Shot Federated Learning (ICLR 2023)☆17Updated last year
- ☆35Updated last year
- [ICML 2023] Optimizing the Collaboration Structure in Cross-Silo Federated Learning. Wenxuan Bao, Haohan Wang, Jun Wu, Jingrui He.☆18Updated last year
- Data Optimization in Deep Learning: A Survey☆18Updated last year
- ☆11Updated last year
- ☆16Updated 7 months ago
- PromptFL: Let Federated Participants Cooperatively Learn Prompts Instead of Models — Federated Learning in Age of Foundation Model☆33Updated last year
- ☆10Updated last year
- ☆28Updated 2 years ago
- Awesome Learn From Model Beyond Fine-Tuning: A Survey☆60Updated 3 months ago
- This is the official implementation of the IJCAI 2024 paper "FedPFT: Federated Proxy Fine-Tuning of Foundation Models".☆21Updated 11 months ago
- [NeurIPS'22 Spotlight] Federated Learning from Pre-Trained Models: A Contrastive Learning Approach☆42Updated last year
- [NeurIPS'23] FedL2P: Federated Learning to Personalize☆20Updated 8 months ago
- ☆30Updated last year