gatech-sysml / CompOFALinks
[ICLR 2021] CompOFA: Compound Once-For-All Networks For Faster Multi-Platform Deployment
☆24Updated 2 years ago
Alternatives and similar repositories for CompOFA
Users that are interested in CompOFA are comparing it to the libraries listed below
Sorting:
- [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
- NAS Benchmark in "Prioritized Architecture Sampling with Monto-Carlo Tree Search", CVPR2021☆37Updated 3 years ago
- Codes for Accepted Paper : "MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization" in NeurIPS 2019☆54Updated 5 years ago
- Generic Neural Architecture Search via Regression (NeurIPS'21 Spotlight)☆36Updated 2 years ago
- Macro Neural Architecture Search Benchmark☆16Updated 2 years ago
- [ICLR 2021 Spotlight] "CPT: Efficient Deep Neural Network Training via Cyclic Precision" by Yonggan Fu, Han Guo, Meng Li, Xin Yang, Yinin…☆31Updated last year
- Revisiting Parameter Sharing for Automatic Neural Channel Number Search, NeurIPS 2020☆21Updated 4 years ago
- This is the pytorch implementation for the paper: Generalizable Mixed-Precision Quantization via Attribution Rank Preservation, which is…☆25Updated 3 years ago
- Code for ICML 2021 submission☆34Updated 4 years ago
- Code for our ICLR'2021 paper "DrNAS: Dirichlet Neural Architecture Search"☆44Updated 4 years ago
- PyTorch implementation of "Deep Transferring Quantization" (ECCV2020)☆18Updated 2 years ago
- ☆25Updated 3 years ago
- Official PyTorch Implementation of HELP: Hardware-adaptive Efficient Latency Prediction for NAS via Meta-Learning (NeurIPS 2021 Spotlight…☆63Updated 10 months ago
- code for NASViT☆67Updated 3 years ago
- [ICLR'23] Trainability Preserving Neural Pruning (PyTorch)☆32Updated 2 years ago
- [ICML 2021 Oral] "CATE: Computation-aware Neural Architecture Encoding with Transformers" by Shen Yan, Kaiqiang Song, Fei Liu, Mi Zhang☆19Updated 3 years ago
- Official code of "NAS acceleration via proxy data", IJCAI21☆10Updated 3 years ago
- Official PyTorch Implementation of "Learning Architectures for Binary Networks" (ECCV2020)☆26Updated 4 years ago
- ☆17Updated 2 years ago
- Towards Compact CNNs via Collaborative Compression☆11Updated 3 years ago
- Codes for Understanding Architectures Learnt by Cell-based Neural Architecture Search☆27Updated 5 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
- Official PyTorch implementation of "Evolving Search Space for Neural Architecture Search"☆12Updated 3 years ago
- ☆43Updated last year
- [ICLR 2022] "Unified Vision Transformer Compression" by Shixing Yu*, Tianlong Chen*, Jiayi Shen, Huan Yuan, Jianchao Tan, Sen Yang, Ji Li…☆52Updated last year
- ☆24Updated 3 years ago
- Code for ViTAS_Vision Transformer Architecture Search☆50Updated 3 years ago
- This is the official PyTorch implementation for "Sharpness-aware Quantization for Deep Neural Networks".☆43Updated 3 years ago
- Official PyTorch implementation of "Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets" (ICLR 2021)☆64Updated 10 months ago
- [CVPR 2021] Contrastive Neural Architecture Search with Neural Architecture Comparators☆40Updated 3 years ago