JingyangXiang / OvSW
Pytorch implementation of our paper OvSW: Overcoming Silent Weights for Accurate Binary Neural Networks accepted by ECCV 2024.
☆18Updated 4 months ago
Related projects ⓘ
Alternatives and complementary repositories for OvSW
- Pytorch implementation of our paper SUBP: Soft Uniform Block Pruning for 1xN Sparse CNNs Multithreading Acceleration accepted by NeurIPS …☆22Updated 8 months ago
- Pytorch implementation of our paper MaxQ: Multi-Axis Query for N:M Sparsity Network accepted by CVPR 2024.☆34Updated 8 months ago
- BinaryViT: Pushing Binary Vision Transformers Towards Convolutional Models☆31Updated 9 months ago
- [NeurIPS 2023] ShiftAddViT: Mixture of Multiplication Primitives Towards Efficient Vision Transformer☆31Updated 11 months ago
- The official implementation of BiViT: Extremely Compressed Binary Vision Transformers☆12Updated last year
- [TMLR] Official PyTorch implementation of paper "Quantization Variation: A New Perspective on Training Transformers with Low-Bit Precisio…☆34Updated last month
- [ICML 2023] This project is the official implementation of our accepted ICML 2023 paper BiBench: Benchmarking and Analyzing Network Binar…☆54Updated 8 months ago
- ☆25Updated last year
- The official implementation of the NeurIPS 2022 paper Q-ViT.☆83Updated last year
- Official repository of SpikeZIP-TF in ICML2024☆31Updated 5 months ago
- Neural Network Quantization☆9Updated 2 years ago
- [CVPR 2023] PD-Quant: Post-Training Quantization Based on Prediction Difference Metric☆52Updated last year
- To appear in the 11th International Conference on Learning Representations (ICLR 2023).☆16Updated last year
- This is the official pytorch implementation for the paper: *Quantformer: Learning Extremely Low-precision Vision Transformers*.☆20Updated 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 2 years ago
- [ICLR 2024] Official implementation of Spiking Graph Contrastive Learning (0️⃣1️⃣ SpikeGCL)☆27Updated 6 months ago
- ☆18Updated 2 years ago
- [ICLR 2024] Hebbian Learning based Orthogonal Projection for Continual Learning of Spiking Neural Networks☆28Updated 9 months 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
- ☆42Updated last year
- [CVPR'23] SparseViT: Revisiting Activation Sparsity for Efficient High-Resolution Vision Transformer☆61Updated 6 months ago
- Join the High Accuracy Club on ImageNet with A Binary Neural Network Ticket☆55Updated last year
- [TMLR] Official PyTorch implementation of paper "Efficient Quantization-aware Training with Adaptive Coreset Selection"☆29Updated 3 months ago
- DeiT implementation for Q-ViT☆23Updated 2 years ago
- Offical code of "QKFormer: Hierarchical Spiking Transformer using Q-K Attention" (NeurIPS 2024,Spotlight 3%)☆73Updated last week
- [ICLR 2024] This is the official PyTorch implementation of "QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Mod…☆36Updated 8 months ago
- Pytorch implementation of our paper accepted by CVPR 2022 -- IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Sh…☆31Updated 2 years ago
- [ICCV-23] Masked Spiking Transformer☆27Updated 11 months ago
- Collections of model quantization algorithms. Any issues, please contact Peng Chen (blueardour@gmail.com)☆68Updated 3 years ago
- Code for ICCV23 paper "Automatic network pruning via Hilbert Schmidt independence criterion lasso under information bottleneck principle"☆16Updated last year