JingyangXiang / SUBPLinks
Pytorch implementation of our paper SUBP: Soft Uniform Block Pruning for 1xN Sparse CNNs Multithreading Acceleration accepted by NeurIPS 2023.
☆22Updated last year
Alternatives and similar repositories for SUBP
Users that are interested in SUBP are comparing it to the libraries listed below
Sorting:
- Pytorch implementation of our paper OvSW: Overcoming Silent Weights for Accurate Binary Neural Networks accepted by ECCV 2024.☆18Updated last year
- [ICLR 2024] Dynamic Neural Response Tuning☆16Updated last month
- [COLM 2025] DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation; 知乎:https://zhuanlan.zhihu.c…☆29Updated 10 months ago
- Pytorch implementation of our paper MaxQ: Multi-Axis Query for N:M Sparsity Network accepted by CVPR 2024.☆38Updated last year
- [CVPR'24] Once for Both: Single Stage of Importance and Sparsity Search for Vision Transformer Compression☆15Updated last year
- Official code implementation for 2025 ICLR accepted paper "Dobi-SVD : Differentiable SVD for LLM Compression and Some New Perspectives"☆50Updated 2 months ago
- Awesome-Low-Rank-Adaptation☆126Updated last year
- The official PyTorch implementation of CHEX: CHannel EXploration for CNN Model Compression (CVPR 2022). Paper is available at https://ope…☆38Updated 3 years ago
- [NeurIPS 2024 Oral🔥] DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs.☆178Updated last year
- [ICML'24 Oral] APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference☆46Updated last year
- [AAAI '23] PINAT: A Permutation INvariance Augmented Transformer for NAS Predictor☆31Updated 2 years ago
- [VLDB 2024] Source code for FusionQuery: On-demand Fusion Queries over Multi-source Heterogeneous Data☆11Updated 10 months ago
- Lossless Training Speed Up by Unbiased Dynamic Data Pruning☆341Updated last year
- [AAAI 2023] Official PyTorch Code for "Curriculum Temperature for Knowledge Distillation"☆181Updated last year
- Awesome LLM pruning papers all-in-one repository with integrating all useful resources and insights.☆142Updated 5 months ago
- [ICLR 2025] Mixture Compressor for Mixture-of-Experts LLMs Gains More☆65Updated 11 months ago
- The code repository of "MBQ: Modality-Balanced Quantization for Large Vision-Language Models"☆74Updated 9 months ago
- ICLR 2024, Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching☆105Updated last year
- [WWW2024] The official code for paper "Distributionally Robust Graph-based Recommendation System"☆32Updated last year
- The official PyTorch implementation of the ICLR2022 paper, QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quan…☆127Updated 3 months ago
- Pytorch implementation of our paper accepted by CVPR 2022 -- IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Sh…☆34Updated 3 years ago
- [ICML 2024] PyTorch implementation for "Diversified Batch Selection for Training Acceleration"☆10Updated last year
- [NeurIPS'24 Oral] HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning☆234Updated last year
- [ICML 2023] UPop: Unified and Progressive Pruning for Compressing Vision-Language Transformers☆105Updated last year
- Github Repo for OATS: Outlier-Aware Pruning through Sparse and Low Rank Decomposition☆17Updated 8 months ago
- ☆152Updated last year
- This project is the official implementation of our accepted IEEE TPAMI paper Diverse Sample Generation: Pushing the Limit of Data-free Qu…☆14Updated 2 years ago
- A family of efficient edge language models in 100M~1B sizes.☆19Updated 11 months ago
- Official Pytorch Implementation of Our Paper Accepted at ICLR 2024-- Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLM…☆50Updated last year
- The official implementation of the NeurIPS 2022 paper Q-ViT.☆103Updated 2 years ago