IST-DASLab / CrAMLinks
Code for reproducing the results from "CrAM: A Compression-Aware Minimizer" accepted at ICLR 2023
☆10Updated 2 years ago
Alternatives and similar repositories for CrAM
Users that are interested in CrAM are comparing it to the libraries listed below
Sorting:
- [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
- ☆22Updated 2 years ago
- [ICLR'23] Trainability Preserving Neural Pruning (PyTorch)☆34Updated 2 years ago
- Training Quantized Neural Networks with a Full-precision Auxiliary Module☆13Updated 5 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 last year
- [TMLR 2024] Revisiting Random Weight Perturbation for Efficiently Improving Generalization☆11Updated 10 months ago
- Code for ICML 2022 paper "SPDY: Accurate Pruning with Speedup Guarantees"☆20Updated 2 years ago
- Official implementation for "SimA: Simple Softmax-free Attention for Vision Transformers"☆44Updated last year
- [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 2 years ago
- We propose a lossless compression algorithm based on the NTK matrix for DNN. The compressed network yields asymptotically the same NTK a…☆26Updated last year
- Official Implementation of Convolutional Normalization: Improving Robustness and Training for Deep Neural Networks☆30Updated 3 years ago
- Code for RepNAS☆13Updated 3 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
- ☆26Updated last year
- Implementation of PGONAS for CVPR22W and RD-NAS for ICASSP23☆22Updated 2 years ago
- ☆17Updated 2 years ago
- Position-based Scaled Gradient for Model Quantization and Pruning Code (NeurIPS 2020)☆26Updated 4 years ago
- [ECCV 2022] SuperTickets: Drawing Task-Agnostic Lottery Tickets from Supernets via Jointly Architecture Searching and Parameter Pruning☆21Updated 3 years ago
- super-resolution; post-training quantization; model compression☆12Updated last year
- Official PyTorch implementation of "Efficient Latency-Aware CNN Depth Compression via Two-Stage Dynamic Programming" (ICML'23)☆13Updated last year
- To appear in the 11th International Conference on Learning Representations (ICLR 2023).☆18Updated 2 years ago
- [ICLR 2022] The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training by Shiwei Liu, Tianlo…☆76Updated 2 years ago
- Official Code of The Combinatorial Brain Surgeon: Pruning Weights That Cancel One Another in Neural Networks[ICML2022]☆17Updated 2 years ago
- ☆12Updated last year
- The official implementation of "NAS-BNN: Neural Architecture Search for Binary Neural Networks"☆13Updated last year
- [ICML2023] Instant Soup Cheap Pruning Ensembles in A Single Pass Can Draw Lottery Tickets from Large Models. Ajay Jaiswal, Shiwei Liu, Ti…☆11Updated last year
- ☆17Updated 3 years ago
- Official implementation for Wavelet Feature Maps Compression for Image-to-Image CNNs, NeurIPS 2022.☆35Updated 2 years ago