hzf1174 / RoBoTLinks
Official Implementation of Robustifying and Boosting Training-Free Neural Architecture Search
☆10Updated last year
Alternatives and similar repositories for RoBoT
Users that are interested in RoBoT are comparing it to the libraries listed below
Sorting:
- [ICML 2021] "Double-Win Quant: Aggressively Winning Robustness of Quantized DeepNeural Networks via Random Precision Training and Inferen…☆16Updated 3 years ago
- [ICLR 2021] HW-NAS-Bench: Hardware-Aware Neural Architecture Search Benchmark☆113Updated 2 years ago
- Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples [NeurIPS 2021]☆33Updated 4 years ago
- The official implementation of TinyTrain [ICML '24]☆23Updated last year
- NAS Benchmarks Collection☆15Updated 2 years ago
- ☆28Updated 2 years ago
- [AAAI '23] PINAT: A Permutation INvariance Augmented Transformer for NAS Predictor☆31Updated 2 years ago
- ☆12Updated 2 years ago
- ☆78Updated last year
- This repo contains the code for studying the interplay between quantization and sparsity methods☆24Updated 9 months ago
- [ICCV-2023] EMQ: Evolving Training-free Proxies for Automated Mixed Precision Quantization☆28Updated 2 years ago
- Github Repo for OATS: Outlier-Aware Pruning through Sparse and Low Rank Decomposition☆15Updated 7 months ago
- Generic Neural Architecture Search via Regression (NeurIPS'21 Spotlight)☆36Updated 3 years ago
- This project is the official implementation of our accepted IEEE TPAMI paper Diverse Sample Generation: Pushing the Limit of Data-free Qu…☆14Updated 2 years ago
- ☆52Updated last year
- EQ-Net [ICCV 2023]☆30Updated 2 years ago
- Code for ICCV23 paper "Automatic network pruning via Hilbert Schmidt independence criterion lasso under information bottleneck principle"☆18Updated 2 years ago
- The official implementation of paper PreNAS: Preferred One-Shot Learning Towards Efficient Neural Architecture Search☆31Updated 2 years ago
- ☆36Updated 3 years ago
- HW-GPT-Bench: Hardware-Aware Architecture Benchmark for Language Models☆22Updated last year
- [ICML 2021] "Do We Actually Need Dense Over-Parameterization? In-Time Over-Parameterization in Sparse Training" by Shiwei Liu, Lu Yin, De…☆45Updated 2 years ago
- [Neurips 2021] Sparse Training via Boosting Pruning Plasticity with Neuroregeneration☆31Updated 2 years ago
- Pytorch implementation of our paper accepted by ECCV 2022-- Fine-grained Data Distribution Alignment for Post-Training Quantization☆15Updated 3 years ago
- [ICLR 2023] 'Revisiting Pruning At Initialization Through The Lens of Ramanujan Graph" by Duc Hoang, Shiwei Liu, Radu Marculescu, Atlas W…☆14Updated 2 years ago
- Awesome Pruning. ✅ Curated Resources for Neural Network Pruning.☆173Updated last year
- Any-Precision Deep Neural Networks (AAAI 2021)☆61Updated 5 years ago
- An implementation of the DISP-LLM method from the NeurIPS 2024 paper: Dimension-Independent Structural Pruning for Large Language Models.☆23Updated 4 months ago
- ☆20Updated last year
- ☆40Updated 2 years ago
- ☆43Updated last year