Akimoto-Cris / RD_PRUNE
[ICCV 2023] Efficient Joint Optimization of Layer-Adaptive Weight Pruning in Deep Neural Networks
☆23Updated last year
Alternatives and similar repositories for RD_PRUNE:
Users that are interested in RD_PRUNE are comparing it to the libraries listed below
- [ICLR 2022] "Unified Vision Transformer Compression" by Shixing Yu*, Tianlong Chen*, Jiayi Shen, Huan Yuan, Jianchao Tan, Sen Yang, Ji Li…☆50Updated last year
- [ICLR'23] Trainability Preserving Neural Pruning (PyTorch)☆32Updated last year
- ☆42Updated last year
- [Preprint] Why is the State of Neural Network Pruning so Confusing? On the Fairness, Comparison Setup, and Trainability in Network Prunin…☆40Updated last year
- [NeurIPS 2023] ShiftAddViT: Mixture of Multiplication Primitives Towards Efficient Vision Transformer☆32Updated last year
- [TMLR] Official PyTorch implementation of paper "Efficient Quantization-aware Training with Adaptive Coreset Selection"☆30Updated 4 months ago
- Fire Together Wire Together: A Dynamic Pruning Approach with Self-Supervised Mask Prediction☆10Updated 2 years ago
- [NeurIPS 2024] Search for Efficient LLMs☆12Updated 2 months ago
- [ICCV-2023] EMQ: Evolving Training-free Proxies for Automated Mixed Precision Quantization☆25Updated last year
- ☆12Updated last year
- [NeurIPS'21] "Chasing Sparsity in Vision Transformers: An End-to-End Exploration" by Tianlong Chen, Yu Cheng, Zhe Gan, Lu Yuan, Lei Zhang…☆90Updated last year
- [ICML 2023] This project is the official implementation of our accepted ICML 2023 paper BiBench: Benchmarking and Analyzing Network Binar…☆53Updated 10 months ago
- ☆21Updated 2 months ago
- The official implementation of the NeurIPS 2022 paper Q-ViT.☆85Updated last year
- [ECCV 2024] Isomorphic Pruning for Vision Models☆60Updated 5 months ago
- ☆12Updated 7 months ago
- ☆20Updated 2 years ago
- This project is the official implementation of our accepted IEEE TPAMI paper Diverse Sample Generation: Pushing the Limit of Data-free Qu…☆14Updated last year
- [Neurips 2022] “ Back Razor: Memory-Efficient Transfer Learning by Self-Sparsified Backpropogation”, Ziyu Jiang*, Xuxi Chen*, Xueqin Huan…☆19Updated last year
- Pytorch implementation of our paper accepted by IEEE TNNLS, 2022 — Carrying out CNN Channel Pruning in a White Box☆18Updated 2 years ago
- Pytorch implementation of our paper accepted by ECCV 2022-- Fine-grained Data Distribution Alignment for Post-Training Quantization☆14Updated 2 years ago
- In progress.☆64Updated 9 months ago
- ☆25Updated 3 years ago
- ☆16Updated 2 years ago
- To appear in the 11th International Conference on Learning Representations (ICLR 2023).☆16Updated last year
- [ICLR 2022] The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training by Shiwei Liu, Tianlo…☆73Updated 2 years ago
- Recent Advances on Efficient Vision Transformers☆49Updated 2 years ago
- Pytorch implementation of our paper accepted by ICCV 2021 -- ReCU: Reviving the Dead Weights in Binary Neural Networks http://arxiv.org/a…☆39Updated 3 years ago
- S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural Networks via Guided Distribution Calibration (CVPR 2021)☆63Updated 3 years ago
- Pytorch implementation of our paper (TNNLS) -- Pruning Networks with Cross-Layer Ranking & k-Reciprocal Nearest Filters☆12Updated 2 years ago