chenbong / awesome-compression-papers
Paper collection about model compression and acceleration: Pruning, Quantization, Knowledge Distillation, Low Rank Factorization, etc
☆24Updated 4 years ago
Alternatives and similar repositories for awesome-compression-papers:
Users that are interested in awesome-compression-papers are comparing it to the libraries listed below
- Towards Compact CNNs via Collaborative Compression☆11Updated 3 years ago
- Pytorch implementation of our paper accepted by IEEE TNNLS, 2021 -- Network Pruning using Adaptive Exemplar Filters☆22Updated 4 years ago
- Pytorch implementation of TPAMI 2022 -- 1xN Pattern for Pruning Convolutional Neural Networks☆44Updated 2 years ago
- [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
- ☆19Updated 4 years ago
- Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression. CVPR2020.☆63Updated 3 years ago
- ☆16Updated 2 years ago
- Pytorch implementation of our paper accepted by IEEE TNNLS, 2022 — Carrying out CNN Channel Pruning in a White Box☆18Updated 3 years ago
- S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural Networks via Guided Distribution Calibration (CVPR 2021)☆64Updated 3 years ago
- Binary neural networks developed by Huawei Noah's Ark Lab☆29Updated 4 years ago
- Global Sparse Momentum SGD for pruning very deep neural networks☆44Updated 2 years ago
- 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☆21Updated 4 years ago
- PyTorch Implementation of AutoPruner☆23Updated 4 years ago
- Pytorch implementation of our paper accepted by IEEE TNNLS, 2021 -- Filter Sketch for Network Pruning☆53Updated 4 years ago
- Official PyTorch Implementation of "Learning Architectures for Binary Networks" (ECCV2020)☆26Updated 4 years ago
- XNAS: An effective, modular, and flexible Neural Architecture Search (NAS) framework.☆48Updated 2 years ago
- ☆30Updated 4 years ago
- PyTorch implementation of BigNAS: Scaling Up Neural Architecture Search with Big Single-Stage Models☆25Updated 2 years ago
- Pruning Filters For Efficient ConvNets, PyTorch Implementation.☆30Updated 5 years ago
- A PyTorch Implementation of Feature Boosting and Suppression☆18Updated 4 years ago
- Codes for paper "Few Shot Network Compression via Cross Distillation", AAAI 2020.☆31Updated 5 years ago
- ☆24Updated 3 years ago
- ☆10Updated 3 years ago
- PyTorch implementation for GAL.☆56Updated 4 years ago
- This is the pytorch implementation for the paper: Generalizable Mixed-Precision Quantization via Attribution Rank Preservation, which is…☆25Updated 3 years ago
- ☆48Updated 5 years ago
- [ICCV-2023] EMQ: Evolving Training-free Proxies for Automated Mixed Precision Quantization☆25Updated last year
- This repo is the official megengine implementation of the ECCV2022 paper: Efficient One Pass Self-distillation with Zipf's Label Smoothin…☆26Updated 2 years ago
- PyTorch-Implementation of "Data-Driven Sparse Structure Selection for Deep Neural Networks"☆20Updated 5 years ago