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
- Binary neural networks developed by Huawei Noah's Ark Lab☆28Updated 3 years ago
- ☆19Updated 4 years ago
- Pytorch implementation of TPAMI 2022 -- 1xN Pattern for Pruning Convolutional Neural Networks☆44Updated 2 years ago
- XNAS: An effective, modular, and flexible Neural Architecture Search (NAS) framework.☆47Updated 2 years ago
- Pytorch implementation of our paper (TNNLS) -- Pruning Networks with Cross-Layer Ranking & k-Reciprocal Nearest Filters☆12Updated 2 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
- ☆16Updated 2 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 accepted by IEEE TNNLS, 2022 — Carrying out CNN Channel Pruning in a White Box☆18Updated 2 years ago
- PyTorch Implementation of AutoPruner☆22Updated 4 years ago
- official implementation of Generative Low-bitwidth Data Free Quantization(GDFQ)☆53Updated last year
- Revisiting Parameter Sharing for Automatic Neural Channel Number Search, NeurIPS 2020☆20Updated 3 years ago
- ☆10Updated 3 years ago
- Pytorch implementation of our paper accepted by ICML 2023 -- "Bi-directional Masks for Efficient N:M Sparse Training"☆11Updated last year
- ☆47Updated 4 years ago
- Codes for Accepted Paper : "MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization" in NeurIPS 2019☆54Updated 4 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
- ☆24Updated 2 years ago
- How Do Adam and Training Strategies Help BNNs Optimization? In ICML 2021.☆59Updated 3 years ago
- Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression. CVPR2020.☆63Updated 2 years ago
- PyTorch implementation of "Deep Transferring Quantization" (ECCV2020)☆18Updated 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
- ☆29Updated 4 years ago
- ☆23Updated 2 years ago
- PyTorch-Implementation of "Data-Driven Sparse Structure Selection for Deep Neural Networks"☆20Updated 4 years ago
- [NeurIPS 2020] ShiftAddNet: A Hardware-Inspired Deep Network☆69Updated 3 years ago
- PyTorch implementation of BigNAS: Scaling Up Neural Architecture Search with Big Single-Stage Models☆25Updated 2 years ago
- [CVPR 2021] Contrastive Neural Architecture Search with Neural Architecture Comparators☆40Updated 2 years ago
- A PyTorch Implementation of Feature Boosting and Suppression☆16Updated 4 years ago
- Pytorch implementation of our paper accepted by IEEE TNNLS, 2021 -- Network Pruning using Adaptive Exemplar Filters☆22Updated 3 years ago