chenbong / awesome-compression-papers
Paper collection about model compression and acceleration: Pruning, Quantization, Knowledge Distillation, Low Rank Factorization, etc
☆23Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for awesome-compression-papers
- Pytorch implementation of TPAMI 2022 -- 1xN Pattern for Pruning Convolutional Neural Networks☆44Updated 2 years ago
- Pytorch implementation of our paper accepted by IEEE TNNLS, 2022 — Carrying out CNN Channel Pruning in a White Box☆18Updated 2 years ago
- ☆16Updated 2 years ago
- XNAS: An effective, modular, and flexible Neural Architecture Search (NAS) framework.☆47Updated 2 years ago
- Binary neural networks developed by Huawei Noah's Ark Lab☆29Updated 3 years ago
- Pytorch implementation of our paper accepted by TPAMI 2023 — Lottery Jackpots Exist in Pre-trained Models☆32Updated last year
- Pytorch implementation of our paper (TNNLS) -- Pruning Networks with Cross-Layer Ranking & k-Reciprocal Nearest Filters☆12Updated 2 years ago
- ☆29Updated 4 years ago
- Pytorch implementation of our paper accepted by IEEE TNNLS, 2021 -- Network Pruning using Adaptive Exemplar Filters☆22Updated 3 years ago
- Global Sparse Momentum SGD for pruning very deep neural networks☆43Updated 2 years ago
- A PyTorch Implementation of Feature Boosting and Suppression☆16Updated 4 years ago
- ☆19Updated 4 years ago
- PyTorch-Implementation of "Data-Driven Sparse Structure Selection for Deep Neural Networks"☆20Updated 4 years ago
- Pytorch implementation of our paper accepted by ICML 2023 -- "Bi-directional Masks for Efficient N:M Sparse Training"☆11Updated last year
- S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural Networks via Guided Distribution Calibration (CVPR 2021)☆63Updated 3 years ago
- [ICLR 2022] The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training by Shiwei Liu, Tianlo…☆73Updated last year
- Pytorch implementation of our paper accepted by IEEE TNNLS, 2021 -- Filter Sketch for Network Pruning☆53Updated 3 years ago
- [ICCV-2023] EMQ: Evolving Training-free Proxies for Automated Mixed Precision Quantization☆27Updated 11 months ago
- Revisiting Parameter Sharing for Automatic Neural Channel Number Search, NeurIPS 2020☆20Updated 4 years ago
- Official PyTorch Implementation of "Learning Architectures for Binary Networks" (ECCV2020)☆26Updated 4 years ago
- CVPR 2021 : Zero-shot Adversarial Quantization (ZAQ)☆65Updated 3 years ago
- PyTorch Implementation of AutoPruner☆22Updated 4 years ago
- [NeurIPS 2021] “Stronger NAS with Weaker Predictors“, Junru Wu, Xiyang Dai, Dongdong Chen, Yinpeng Chen, Mengchen Liu, Ye Yu, Zhangyang W…☆27Updated 2 years ago
- ☆23Updated 2 years ago
- ☆10Updated 3 years ago
- PyTorch implementation of BigNAS: Scaling Up Neural Architecture Search with Big Single-Stage Models☆25Updated 2 years ago
- PyTorch implementation for GAL.☆55Updated 4 years ago
- Codes for paper "Few Shot Network Compression via Cross Distillation", AAAI 2020.☆30Updated 4 years ago
- [ICLR'21] Neural Pruning via Growing Regularization (PyTorch)☆83Updated 3 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