A-suozhang / Papers-of-NAS
Personal Digest of NAS (Under Construction π )
β25Updated 3 years ago
Related projects: β
- The code for Joint Neural Architecture Search and Quantizationβ13Updated 5 years ago
- [NeurIPS 2021] βStronger NAS with Weaker Predictorsβ, Junru Wu, Xiyang Dai, Dongdong Chen, Yinpeng Chen, Mengchen Liu, Ye Yu, Zhangyang Wβ¦β27Updated last year
- β23Updated 2 years ago
- Official code of "NAS acceleration via proxy data", IJCAI21β10Updated 2 years ago
- Generic Neural Architecture Search via Regression (NeurIPS'21 Spotlight)β36Updated 2 years ago
- β22Updated 2 years ago
- Official PyTorch Implementation of "Learning Architectures for Binary Networks" (ECCV2020)β26Updated 3 years ago
- [ICML 2022] ShiftAddNAS: Hardware-Inspired Search for More Accurate and Efficient Neural Networksβ14Updated 2 years ago
- You Only Search Once: On Lightweight Differentiable Architecture Search for Resource-Constrained Embedded Platformsβ10Updated last year
- Code for ICML 2021 submissionβ35Updated 3 years ago
- Binary neural networks developed by Huawei Noah's Ark Labβ28Updated 3 years ago
- XNAS: An effective, modular, and flexible Neural Architecture Search (NAS) framework.β47Updated 2 years ago
- Macro Neural Architecture Search Benchmarkβ16Updated last year
- β42Updated 7 months ago
- [CVPRW 21] "BNN - BN = ? Training Binary Neural Networks without Batch Normalization", Tianlong Chen, Zhenyu Zhang, Xu Ouyang, Zechun Liuβ¦β55Updated 2 years ago
- NAS Benchmark in "Prioritized Architecture Sampling with Monto-Carlo Tree Search", CVPR2021β38Updated 3 years ago
- Official implementation for paper LIMPQ, "Mixed-Precision Neural Network Quantization via Learned Layer-wise Importance", ECCV 2022β44Updated last year
- This repository implements the paper "Effective Training of Convolutional Neural Networks with Low-bitwidth Weights and Activations"β20Updated 3 years ago
- [ICCV-2023] EMQ: Evolving Training-free Proxies for Automated Mixed Precision Quantizationβ27Updated 9 months ago
- Post-training sparsity-aware quantizationβ32Updated last year
- How Do Adam and Training Strategies Help BNNs Optimization? In ICML 2021.β59Updated 3 years ago
- β11Updated 3 years ago
- [NeurIPS 2020] ShiftAddNet: A Hardware-Inspired Deep Networkβ68Updated 3 years ago
- [AAAI '23] PINAT: A Permutation INvariance Augmented Transformer for NAS Predictorβ29Updated last year
- Codes for Accepted Paper : "MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization" in NeurIPS 2019β55Updated 4 years ago
- This repository contains the publishable code for CVPR 2021 paper TransNAS-Bench-101: Improving Transferrability and Generalizability of β¦β21Updated last year
- β33Updated 2 years ago
- Any-Precision Deep Neural Networks (AAAI 2021)β56Updated 4 years ago
- Implementation of PGONAS for CVPR22W and RD-NAS for ICASSP23β23Updated last year
- [CVPR 2021] Contrastive Neural Architecture Search with Neural Architecture Comparatorsβ39Updated 2 years ago