facebookresearch / NASViTLinks
code for NASViT
☆67Updated 3 years ago
Alternatives and similar repositories for NASViT
Users that are interested in NASViT are comparing it to the libraries listed below
Sorting:
- Code for ViTAS_Vision Transformer Architecture Search☆51Updated 4 years ago
- (ICCV 2021) BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search☆142Updated 4 years ago
- code for "AttentiveNAS Improving Neural Architecture Search via Attentive Sampling"☆105Updated 4 years ago
- AlphaNet Improved Training of Supernet with Alpha-Divergence☆100Updated 4 years ago
- NAS Benchmark in "Prioritized Architecture Sampling with Monto-Carlo Tree Search", CVPR2021☆37Updated 4 years ago
- [ICLR 2022] The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training by Shiwei Liu, Tianlo…☆77Updated 3 years ago
- Code for our ICLR'2021 paper "DrNAS: Dirichlet Neural Architecture Search"☆43Updated 4 years ago
- XNAS: An effective, modular, and flexible Neural Architecture Search (NAS) framework.☆47Updated 3 years ago
- [NeurIPS'21] "Chasing Sparsity in Vision Transformers: An End-to-End Exploration" by Tianlong Chen, Yu Cheng, Zhe Gan, Lu Yuan, Lei Zhang…☆89Updated 2 years ago
- ☆17Updated 3 years ago
- (CVPR 2021, Oral) Dynamic Slimmable Network☆231Updated 4 years ago
- S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural Networks via Guided Distribution Calibration (CVPR 2021)☆65Updated 4 years ago
- [ICLR'21] Neural Pruning via Growing Regularization (PyTorch)☆82Updated 4 years ago
- [ICLR 2022] "Unified Vision Transformer Compression" by Shixing Yu*, Tianlong Chen*, Jiayi Shen, Huan Yuan, Jianchao Tan, Sen Yang, Ji Li…☆55Updated 2 years ago
- [CVPRW 21] "BNN - BN = ? Training Binary Neural Networks without Batch Normalization", Tianlong Chen, Zhenyu Zhang, Xu Ouyang, Zechun Liu…☆57Updated 4 years ago
- Learning recognition/segmentation models without end-to-end training. 40%-60% less GPU memory footprint. Same training time. Better perfo…☆90Updated 3 years ago
- [ICLR 2022] "As-ViT: Auto-scaling Vision Transformers without Training" by Wuyang Chen, Wei Huang, Xianzhi Du, Xiaodan Song, Zhangyang Wa…☆76Updated 3 years ago
- Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression. CVPR2020.☆64Updated 2 weeks ago
- Data-Free Neural Architecture Search via Recursive Label Calibration. ECCV 2022.☆33Updated 3 years ago
- [ICML 2022] "DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks", by Yonggan …☆73Updated 3 years ago
- Code for "DARTS-: Robustly Stepping out of Performance Collapse Without Indicators"☆57Updated 5 years ago
- [CVPR 2021] Contrastive Neural Architecture Search with Neural Architecture Comparators☆40Updated 3 years ago
- HR-NAS: Searching Efficient High-Resolution Neural Architectures with Lightweight Transformers (CVPR21 Oral)☆143Updated 4 years ago
- PyTorch implementation of BigNAS: Scaling Up Neural Architecture Search with Big Single-Stage Models☆29Updated 3 years ago
- Code for "Searching for Efficient Multi-Stage Vision Transformers"☆63Updated 4 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
- Pytorch implementation of our paper accepted by IEEE TNNLS, 2021 -- Filter Sketch for Network Pruning☆53Updated 4 years ago
- ☆54Updated 5 years ago
- [ICLR 2021] CompOFA: Compound Once-For-All Networks For Faster Multi-Platform Deployment☆25Updated 3 years ago
- ☆68Updated 5 years ago