tanganke / opcmLinks
☆14Updated 5 months ago
Alternatives and similar repositories for opcm
Users that are interested in opcm are comparing it to the libraries listed below
Sorting:
- Code for paper "Parameter Efficient Multi-task Model Fusion with Partial Linearization"☆21Updated 10 months ago
- Representation Surgery for Multi-Task Model Merging. ICML, 2024.☆45Updated 9 months ago
- ☆15Updated 10 months ago
- Official repository of "Localizing Task Information for Improved Model Merging and Compression" [ICML 2024]☆45Updated 8 months ago
- AdaMerging: Adaptive Model Merging for Multi-Task Learning. ICLR, 2024.☆86Updated 8 months ago
- [ICML 2023] "Robust Weight Signatures: Gaining Robustness as Easy as Patching Weights?" by Ruisi Cai, Zhenyu Zhang, Zhangyang Wang☆16Updated 2 years ago
- [NeurIPS 2024 Spotlight] EMR-Merging: Tuning-Free High-Performance Model Merging☆59Updated 4 months ago
- ☆28Updated last year
- The code of the paper "Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation" (CVPR2023)☆39Updated 2 years ago
- ☆31Updated last year
- ☆86Updated 2 years ago
- Implementaiton of "DiLM: Distilling Dataset into Language Model for Text-level Dataset Distillation" (accepted by NAACL2024 Findings)".☆21Updated 5 months ago
- [ICLR 2025] "Rethinking LLM Unlearning Objectives: A Gradient Perspective and Go Beyond"☆11Updated 4 months ago
- Source code of "Task arithmetic in the tangent space: Improved editing of pre-trained models".☆102Updated 2 years ago
- LoRA-XS: Low-Rank Adaptation with Extremely Small Number of Parameters☆35Updated 4 months ago
- Metrics for "Beyond neural scaling laws: beating power law scaling via data pruning " (NeurIPS 2022 Outstanding Paper Award)☆56Updated 2 years ago
- Official Pytorch Implementation of Our Paper Accepted at ICLR 2024-- Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLM…☆49Updated last year
- Codes for Merging Large Language Models☆32Updated 11 months ago
- ☆70Updated 3 years ago
- This repository is the official implementation of Dataset Condensation with Contrastive Signals (DCC), accepted at ICML 2022.☆22Updated 3 years ago
- ☆35Updated last year
- ☆16Updated last year
- [ICLR 2025] When Attention Sink Emerges in Language Models: An Empirical View (Spotlight)☆99Updated last week
- [NeurIPS2023] "Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning" by Yihua Zhang*, Yimeng Zhang*,…☆13Updated last year
- Localize-and-Stitch: Efficient Model Merging via Sparse Task Arithmetic☆26Updated 6 months ago
- Codebase for decoding compressed trust.☆24Updated last year
- [CVPR23] "Understanding and Improving Visual Prompting: A Label-Mapping Perspective" by Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zha…☆53Updated last year
- Prioritize Alignment in Dataset Distillation☆20Updated 7 months ago
- LCA-on-the-line (ICML 2024 Oral)☆12Updated 5 months ago
- Analyzing and Reducing Catastrophic Forgetting in Parameter Efficient Tuning☆34Updated 8 months ago