SamsungLabs / nb-asr
☆27Updated last year
Related projects ⓘ
Alternatives and complementary repositories for nb-asr
- Zero-Cost Proxies for Lightweight NAS☆142Updated last year
- Code for our ICLR'2021 paper "DrNAS: Dirichlet Neural Architecture Search"☆43Updated 3 years ago
- ☆75Updated 7 months ago
- Code for our ICLR'2022 paper "Generalizing Few-Shot NAS with Gradient Matching"☆21Updated 2 years ago
- This repository contains the publishable code for CVPR 2021 paper TransNAS-Bench-101: Improving Transferrability and Generalizability of …☆22Updated last year
- ☆12Updated 3 years ago
- GBDT-NAS☆28Updated 3 years ago
- ☆19Updated 2 years ago
- [ICLR2021 Outstanding Paper] Rethinking Architecture Selection in Differentiable NAS☆103Updated 2 years ago
- ☆67Updated 4 years ago
- code for "AttentiveNAS Improving Neural Architecture Search via Attentive Sampling"☆103Updated 3 years ago
- Open source reproduction in PyTorch of "Neural Predictor for Neural Architecture Search".☆39Updated 4 years ago
- Official PyTorch implementation of "Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets" (ICLR 2021)☆63Updated 3 months ago
- Macro Neural Architecture Search Benchmark☆16Updated last year
- ☆35Updated 3 years ago
- TPAMI 2021: NATS-Bench: Benchmarking NAS Algorithms for Architecture Topology and Size☆175Updated 2 years ago
- ☆26Updated 5 months ago
- [CVPR 2022] Implementation of "Shapley-NAS: Discovering Operation Contribution for Neural Architecture Search"☆23Updated last year
- Generic Neural Architecture Search via Regression (NeurIPS'21 Spotlight)☆36Updated 2 years ago
- [ICLR 2021] HW-NAS-Bench: Hardware-Aware Neural Architecture Search Benchmark☆105Updated last year
- codes for Neural Architecture Ranker and detailed cell information datasets based on NAS-Bench series☆12Updated 2 years ago
- This is the official PyTorch implementation for "Sharpness-aware Quantization for Deep Neural Networks".☆40Updated 3 years ago
- Measuring and predicting on-device metrics (latency, power, etc.) of machine learning models☆66Updated last year
- ☆25Updated 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
- The official implementation of paper PreNAS: Preferred One-Shot Learning Towards Efficient Neural Architecture Search☆22Updated last year
- [ICLR 2021] "Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective" by Wuyang Chen, Xinyu Gong, …☆167Updated 2 years ago
- AlphaNet Improved Training of Supernet with Alpha-Divergence☆97Updated 3 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
- ☆18Updated 5 years ago