Model-Compression / Lossless_CompressionLinks
We propose a lossless compression algorithm based on the NTK matrix for DNN. The compressed network yields asymptotically the same NTK as the original (dense and unquantized) network, with its weights and activations taking values only in {0, 1, -1} up to scaling.
☆26Updated last year
Alternatives and similar repositories for Lossless_Compression
Users that are interested in Lossless_Compression are comparing it to the libraries listed below
Sorting:
- ☆22Updated 3 years ago
- Implementation of PGONAS for CVPR22W and RD-NAS for ICASSP23☆22Updated 2 years ago
- Official PyTorch implementation of "Meta-prediction Model for Distillation-Aware NAS on Unseen Datasets" (ICLR 2023 notable top 25%)☆26Updated last year
- [ICLR 2022] "Learning Pruning-Friendly Networks via Frank-Wolfe: One-Shot, Any-Sparsity, and No Retraining" by Lu Miao*, Xiaolong Luo*, T…☆32Updated 3 years ago
- ☆25Updated 3 years ago
- The official project website of "NORM: Knowledge Distillation via N-to-One Representation Matching" (The paper of NORM is published in IC…☆20Updated 2 years ago
- [NeurIPS 2024] Search for Efficient LLMs☆15Updated 9 months ago
- Code for RepNAS☆13Updated 3 years ago
- To appear in the 11th International Conference on Learning Representations (ICLR 2023).☆18Updated 2 years ago
- [CVPR 2022] DiSparse: Disentangled Sparsification for Multitask Model Compression☆14Updated 3 years ago
- [Preprint] Why is the State of Neural Network Pruning so Confusing? On the Fairness, Comparison Setup, and Trainability in Network Prunin…☆40Updated last month
- [ICML 2022] "Linearity Grafting: Relaxed Neuron Pruning Helps Certifiable Robustness" by Tianlong Chen*, Huan Zhang*, Zhenyu Zhang, Shiyu…☆17Updated 3 years ago
- The reproduce for "AM-LFS: AutoML for Loss Function Search"☆14Updated 5 years ago
- The code for Joint Neural Architecture Search and Quantization☆13Updated 6 years ago
- [ACL'22] Training-free Neural Architecture Search for RNNs and Transformers☆13Updated last year
- ☆41Updated 4 years ago
- [ICCV 2023] Efficient Joint Optimization of Layer-Adaptive Weight Pruning in Deep Neural Networks☆25Updated 2 years ago
- [NeurIPS 2021] “Stronger NAS with Weaker Predictors“, Junru Wu, Xiyang Dai, Dongdong Chen, Yinpeng Chen, Mengchen Liu, Ye Yu, Zhangyang W…☆27Updated 3 years ago
- ☆20Updated 2 years ago
- Revisiting Parameter Sharing for Automatic Neural Channel Number Search, NeurIPS 2020☆21Updated 4 years ago
- [ICLR'23] Trainability Preserving Neural Pruning (PyTorch)☆33Updated 2 years ago
- PyTorch implementation of "Deep Transferring Quantization" (ECCV2020)☆18Updated 3 years ago
- [ECCV 2022] SuperTickets: Drawing Task-Agnostic Lottery Tickets from Supernets via Jointly Architecture Searching and Parameter Pruning☆20Updated 3 years ago
- ☆40Updated 2 years ago
- Fire Together Wire Together: A Dynamic Pruning Approach with Self-Supervised Mask Prediction☆11Updated 3 years ago
- [BMVC '21] DU-DARTS: Decreasing the Uncertainty of Differentiable Architecture Search☆13Updated 3 years ago
- [ICCV-2023] EMQ: Evolving Training-free Proxies for Automated Mixed Precision Quantization☆28Updated last year
- Pytorch implementation (TPAMI 2023) - Training Compact CNNs for Image Classification using Dynamic-coded Filter Fusion☆18Updated 2 years ago
- Official Pytorch implementation of Super Vision Transformer (IJCV)☆43Updated 2 years ago
- A highly modular PyTorch framework with a focus on Neural Architecture Search (NAS).☆23Updated 3 years ago