ofsoundof / random_channel_pruningLinks
☆17Updated 3 years ago
Alternatives and similar repositories for random_channel_pruning
Users that are interested in random_channel_pruning are comparing it to the libraries listed below
Sorting:
- [ICML 2022] "DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks", by Yonggan …☆72Updated 3 years ago
- Pytorch implementation of our paper accepted by IEEE TNNLS, 2021 -- Network Pruning using Adaptive Exemplar Filters☆23Updated 4 years ago
- Code for RepNAS☆14Updated 3 years ago
- Benchmarking Attention Mechanism in Vision Transformers.☆18Updated 3 years ago
- This is the pytorch implementation for the paper: Generalizable Mixed-Precision Quantization via Attribution Rank Preservation, which is…☆24Updated 4 years ago
- An implementation of <Group Fisher Pruning for Practical Network Compression> based on pytorch and mmcv☆18Updated 4 years ago
- [ICLR 2022] "As-ViT: Auto-scaling Vision Transformers without Training" by Wuyang Chen, Wei Huang, Xianzhi Du, Xiaodan Song, Zhangyang Wa…☆76Updated 3 years ago
- S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural Networks via Guided Distribution Calibration (CVPR 2021)☆65Updated 4 years ago
- ☆30Updated 3 years ago
- ☆17Updated 3 years ago
- Cyclic Differentiable Architecture Search☆36Updated 3 years ago
- ☆20Updated 2 years ago
- [CVPR 2022] DiSparse: Disentangled Sparsification for Multitask Model Compression☆14Updated 3 years ago
- This is the implementaion of paper "Task-Oriented Feature Distillation"☆44Updated 3 years ago
- ☆27Updated 2 years ago
- Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression. CVPR2020.☆65Updated 3 years ago
- Large-batch Optimization for Dense Visual Predictions (NeurIPS 2022)☆57Updated 3 years ago
- ☆13Updated 4 years ago
- Page for the CVPR 2023 Tutorial - Efficient Neural Networks: From Algorithm Design to Practical Mobile Deployments☆12Updated 2 years ago
- Official implementation for paper "Relational Surrogate Loss Learning", ICLR 2022☆37Updated 2 years ago
- An object detection codebase based on MegEngine.☆28Updated 2 years ago
- Anytime Dense Prediction with Confidence Adaptivity (ICLR 2022)☆52Updated last year
- Pytorch implementation of our paper (TNNLS) -- Pruning Networks with Cross-Layer Ranking & k-Reciprocal Nearest Filters☆12Updated 3 years ago
- Revisiting Parameter Sharing for Automatic Neural Channel Number Search, NeurIPS 2020☆22Updated 5 years ago
- Channel Equilibrium Networks for Learning Deep Representation, ICML2020☆22Updated 5 years ago
- Pytorch implementation of RAPQ, IJCAI 2022☆23Updated 2 years ago
- [ICLR'23] Trainability Preserving Neural Pruning (PyTorch)☆34Updated 2 years ago
- Implementation of PGONAS for CVPR22W and RD-NAS for ICASSP23☆22Updated 2 years ago
- Unified Architecture Search with Convolution, Transformer, and MLP (ECCV 2022)☆53Updated 2 years ago
- PyTorch implementation of "Deep Transferring Quantization" (ECCV2020)☆18Updated 3 years ago