shijxcs / meftLinks
Source code for the paper "Memory-Efficient Fine-Tuning via Low-Rank Activation Compression"
☆13Updated 6 months ago
Alternatives and similar repositories for meft
Users that are interested in meft are comparing it to the libraries listed below
Sorting:
- Official Repository for Heterogeneous Models Dataset Condensation (ECCV 2024, Oral)☆10Updated last year
- Collection of awesome Continual Test-Time Adaptation methods☆24Updated last year
- [NeurIPS2024] An official pytorch implement of the paper: BoostAdapter: Improving Test-Time Adaptation via Regional Bootstrapping☆18Updated 10 months ago
- Dataset Quantization with Active Learning based Adaptive Sampling [ECCV 2024]☆10Updated last year
- Towards Unified and Effective Domain Generalization☆32Updated 2 years ago
- Code for Negative Yields Positive: Unified Dual-Path Adapter for Vision-Language Models☆27Updated last year
- [BMVC 2022] Information Theoretic Representation Distillation☆19Updated 2 years ago
- PyTorch implementation of paper "StyDeSty: Min-Max Stylization and Destylization for Single Domain Generalization" in ICML 2024.☆15Updated last year
- [NeurIPS 2025] Unsupervised Post-Training for Multi-Modal LLM Reasoning via GRPO☆74Updated 3 months ago
- A pytorch implementation of CVPR24 paper "D4M: Dataset Distillation via Disentangled Diffusion Model"☆37Updated last year
- Official Repository for ICML 2024 Paper "OT-CLIP: Understanding and Generalizing CLIP via Optimal Transport"☆22Updated last month
- The code of the paper "Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation" (CVPR2023)☆40Updated 2 years ago
- Pytorch implementation for "Erasing the Bias: Fine-Tuning Foundation Models for Semi-Supervised Learning" (ICML 2024)☆24Updated 8 months ago
- Implementation of "DIME-FM: DIstilling Multimodal and Efficient Foundation Models"☆15Updated 2 years ago
- PELA: Learning Parameter-Efficient Models with Low-Rank Approximation [CVPR 2024]☆19Updated last year
- ☆22Updated last year
- Official implementation of "Towards Distribution-Agnostic Generalized Category Discovery" (NIPS 2023)☆25Updated 2 years ago
- A comprehensive collection of open world papers from top tier conferences and journals☆25Updated last year
- [NeurIPS 2024, spotlight] Scaling Out-of-Distribution Detection for Multiple Modalities☆68Updated last month
- [CVPR2024] Efficient Dataset Distillation via Minimax Diffusion☆104Updated last year
- ☆22Updated last year
- Official code base for "Long-Tailed Diffusion Models With Oriented Calibration" ICLR2024☆15Updated last year
- Code for "Are “Hierarchical” Visual Representations Hierarchical?" in NeurIPS Workshop for Symmetry and Geometry in Neural Representation…☆22Updated 2 years ago
- Official implementation for paper "Knowledge Diffusion for Distillation", NeurIPS 2023☆94Updated 2 years ago
- [ICCV 2023] DataDAM: Efficient Dataset Distillation with Attention Matching☆33Updated last year
- [CVPR 2024] Improving language-visual pretraining efficiency by perform cluster-based masking on images.☆31Updated last year
- [NeurIPS'24] Multilinear Mixture of Experts: Scalable Expert Specialization through Factorization☆38Updated last year
- Official pytorch implementation of NeurIPS 2022 paper, TokenMixup☆48Updated 3 years ago
- [CVPR 2025] CL-MoE: Enhancing Multimodal Large Language Model with Dual Momentum Mixture-of-Experts for Continual Visual Question Answeri…☆47Updated 7 months ago
- Decoupled Kullback-Leibler Divergence Loss (DKL), NeurIPS 2024 / Generalized Kullback-Leibler Divergence Loss (GKL)☆48Updated 6 months ago