MetaLearners / Solution-to-CVPR2021-NAS-competition-Track-1
☆13Updated 3 years ago
Alternatives and similar repositories for Solution-to-CVPR2021-NAS-competition-Track-1:
Users that are interested in Solution-to-CVPR2021-NAS-competition-Track-1 are comparing it to the libraries listed below
- ☆20Updated last year
- Official code of "NAS acceleration via proxy data", IJCAI21☆10Updated 2 years ago
- Implementation of PGONAS for CVPR22W and RD-NAS for ICASSP23☆22Updated last year
- Pi-NAS: Improving Neural Architecture Search by Reducing Supernet Training Consistency Shift (ICCV 2021)☆19Updated 3 years ago
- Benchmarking Attention Mechanism in Vision Transformers.☆17Updated 2 years ago
- ☆17Updated 2 years ago
- This repository contains the publishable code for CVPR 2021 paper TransNAS-Bench-101: Improving Transferrability and Generalizability of …☆22Updated last year
- Codes for DATA: Differentiable ArchiTecture Approximation.☆11Updated 3 years ago
- Data-Free Neural Architecture Search via Recursive Label Calibration. ECCV 2022.☆32Updated 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 2 years ago
- [ICML 2022] ShiftAddNAS: Hardware-Inspired Search for More Accurate and Efficient Neural Networks☆15Updated 2 years ago
- NAS Benchmark in "Prioritized Architecture Sampling with Monto-Carlo Tree Search", CVPR2021☆38Updated 3 years ago
- Official PyTorch implementation of "Evolving Search Space for Neural Architecture Search"☆10Updated 3 years ago
- Code for ViTAS_Vision Transformer Architecture Search☆52Updated 3 years ago
- Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better☆14Updated 9 months ago
- Revisiting Parameter Sharing for Automatic Neural Channel Number Search, NeurIPS 2020☆20Updated 4 years ago
- [CVPR2021] Code for Landmark Regularization: Ranking Guided Super-Net Training in Neural Architecture Search☆9Updated 3 years ago
- ☆11Updated last year
- Code for RepNAS☆13Updated 3 years ago
- Personal Digest of NAS (Under Construction 🛠)☆25Updated 4 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 year
- An implementation of <Group Fisher Pruning for Practical Network Compression> based on pytorch and mmcv☆18Updated 3 years ago
- codes for Neural Architecture Ranker and detailed cell information datasets based on NAS-Bench series☆12Updated 2 years ago
- The reproduce for "AM-LFS: AutoML for Loss Function Search"☆14Updated 4 years ago
- The official implementation of "DOTS: Decoupling Operation and Topology in Differentiable Architecture Search"☆19Updated 3 years ago
- [CVPR 2021] Contrastive Neural Architecture Search with Neural Architecture Comparators☆40Updated 2 years ago
- [NeurIPS'22] What Makes a "Good" Data Augmentation in Knowledge Distillation -- A Statistical Perspective☆36Updated 2 years ago
- This is the pytorch implementation for the paper: Generalizable Mixed-Precision Quantization via Attribution Rank Preservation, which is…☆25Updated 3 years ago
- ☆12Updated 8 months ago
- BESA is a differentiable weight pruning technique for large language models.☆14Updated 10 months ago