alexandertheus / Intra-Fusion
Towards Meta-Pruning via Optimal Transport, ICLR 2024 (Spotlight)
☆16Updated 3 months ago
Alternatives and similar repositories for Intra-Fusion:
Users that are interested in Intra-Fusion are comparing it to the libraries listed below
- Official Pytorch Implementation of Our Paper Accepted at ICLR 2024-- Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLM…☆45Updated 11 months ago
- BESA is a differentiable weight pruning technique for large language models.☆14Updated last year
- [Preprint] Why is the State of Neural Network Pruning so Confusing? On the Fairness, Comparison Setup, and Trainability in Network Prunin…☆40Updated 2 years ago
- [Neurips 2022] “ Back Razor: Memory-Efficient Transfer Learning by Self-Sparsified Backpropogation”, Ziyu Jiang*, Xuxi Chen*, Xueqin Huan…☆19Updated 2 years ago
- [ICML 2024] SPP: Sparsity-Preserved Parameter-Efficient Fine-Tuning for Large Language Models☆18Updated 10 months ago
- [ICLR'23] Trainability Preserving Neural Pruning (PyTorch)☆32Updated last year
- [ICML'24 Oral] APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference☆33Updated 9 months ago
- ☆48Updated 3 months ago
- This repository is the implementation of the paper Training Free Pretrained Model Merging (CVPR2024).☆29Updated last year
- Code for ECCV 2022 paper “Learning with Recoverable Forgetting”☆21Updated 2 years ago
- A generic code base for neural network pruning, especially for pruning at initialization.☆30Updated 2 years ago
- [NeurIPS'22] What Makes a "Good" Data Augmentation in Knowledge Distillation -- A Statistical Perspective☆36Updated 2 years ago
- Code for "ECoFLaP: Efficient Coarse-to-Fine Layer-Wise Pruning for Vision-Language Models" (ICLR 2024)☆19Updated last year
- ☆50Updated last year
- Metrics for "Beyond neural scaling laws: beating power law scaling via data pruning " (NeurIPS 2022 Outstanding Paper Award)☆55Updated last year
- This is a PyTorch implementation of the paperViP A Differentially Private Foundation Model for Computer Vision☆36Updated last year
- (CVPR 2022) Automated Progressive Learning for Efficient Training of Vision Transformers☆25Updated last month
- [NeurIPS 2024] VeLoRA : Memory Efficient Training using Rank-1 Sub-Token Projections☆19Updated 5 months ago
- Structured Pruning Adapters in PyTorch☆16Updated last year
- Learnable Semi-structured Sparsity for Vision Transformers and Diffusion Transformers☆11Updated last month
- It's All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher [CVPR 2022 Oral]☆29Updated 2 years ago
- [NeurIPS‘2021] "MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge", Geng Yuan, Xiaolong Ma, Yanzhi Wang et al…☆18Updated 3 years ago
- The code of the paper "Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation" (CVPR2023)☆40Updated 2 years ago
- [ICML 2024] CrossGET: Cross-Guided Ensemble of Tokens for Accelerating Vision-Language Transformers.☆32Updated 3 months ago
- ☆17Updated 4 months ago
- [ICLR 2025] Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better☆14Updated last month
- [ICML 2024] Junk DNA Hypothesis: A Task-Centric Angle of LLM Pre-trained Weights through Sparsity; Lu Yin*, Ajay Jaiswal*, Shiwei Liu, So…☆16Updated 9 months ago
- [NeurIPS 2024] Search for Efficient LLMs☆12Updated 2 months ago
- Official implementation of "Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization"☆77Updated 11 months ago
- [NeurIPS 2023] ShiftAddViT: Mixture of Multiplication Primitives Towards Efficient Vision Transformer☆32Updated last year