Global2Local: Efficient Structure Search for Video Action Segmentation |
CVPR 2021 |
CNN |
Gradient |
PyTorch |
HR-NAS: Searching Efficient High-Resolution Neural Architectures With Lightweight Transformers |
CVPR 2021 |
CNN |
Gradient |
PyTorch |
ViPNAS: Efficient Video Pose Estimation via Neural Architecture Search |
CVPR 2021 |
CNN |
Gradient |
PyTorch |
LightTrack: Finding Lightweight Neural Networks for Object Tracking via One-Shot Architecture Search |
CVPR 2021 |
CNN |
Gradient |
PyTorch |
OPANAS: One-Shot Path Aggregation Network Architecture Search for Object Detection |
CVPR 2021 |
CNN |
EA |
PyTorch |
Inception Convolution With Efficient Dilation Search |
CVPR 2021 |
Dilation |
No exact NAS |
PyTorch |
One-Shot Neural Ensemble Architecture Search by Diversity-Guided Search Space Shrinking |
CVPR 2021 |
CNN |
Gradient |
PyTorch |
DOTS: Decoupling Operation and Topology in Differentiable Architecture Search |
CVPR 2021 |
CNN |
Gradient |
PyTorch |
RETHINKING ARCHITECTURE SELECTION IN DIFFERENTIABLE NAS |
ICLR 2021 |
CNN |
Gradient |
PyTorch |
Geometry-Aware Gradient Algorithms for Neural Architecture Search |
ICLR 2021 |
CNN |
Gradient |
PyTorch |
Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets |
ICLR 2021 |
CNN |
Gradient |
PyTorch |
IN SEARCH OF LOST DOMAIN GENERALIZATION |
ICLR 2021 |
Domain |
Not exact NAS |
PyTorch |
SEDONA: Search for Decoupled Neural Networks toward Greedy Block-wise Learning |
ICLR 2021 |
CNN |
Gradient |
PyTorch |
Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective |
ICLR 2021 |
CNN |
training-free |
PyTorch |
Interpretable Neural Architecture Search using Bayesian Optimisation with Weisfeiler-Lehman Kernel (NAS-BOWL) |
ICLR 2021 |
CNN |
Bayesian |
PyTorch |
DrNAS: Dirichlet Neural Architecture Search |
ICLR 2021 |
CNN |
Gradient |
PyTorch |
Zero-Cost Proxies for Lightweight NAS |
ICLR 2021 |
CNN |
Gradient |
PyTorch |
Auto Seg-Loss: Searching Metric Surrogates for Semantic Segmentation |
ICLR 2021 |
Loss |
Gradient |
PyTorch |
MixSearch: Searching for Domain Generalized Medical Image Segmentation Architectures |
TMI(?)2021 |
CNN |
Gradient |
PyTorch |
Neural Architecture Search for Lightweight Non-Local Networks |
CVPR2020 |
Mobile |
Gradient |
PyTorch |
MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning |
CVPR2020 |
- |
Gradient |
PyTorch |
Learning GCN for Skeleton-based Human Action Recognition by Neural Searching |
AAAI2020 |
GCN |
EA |
PyTorch |
MiLeNAS: Efficient Neural Architecture Search via Mixed-Level Reformulation |
CVPR2020 |
CNN |
Gradient |
PyTorch |
When NAS Meets Robustness: In Search of Robust Architectures against Adversarial Attacks |
CVPR2020 |
CNN |
Gradient |
PyTorch |
FedNAS: Federated Deep Learning via Neural Architecture Search |
CVPRW2020 |
CNN |
Gradient |
PyTorch |
Block-wisely Supervised Neural Architecture Search with Knowledge Distillation |
CVPR2020 |
CNN |
Gradient |
Github |
Overcoming Multi-Model Forgetting in One-Shot NAS with Diversity Maximization |
CVPR |
- |
G |
PyTorch |
Densely Connected Search Space for More Flexible Neural Architecture Search |
CVPR2020 |
DenseNet |
Gradient |
PyTorch |
EfficientDet: Scalable and Efficient Object Detection |
CVPR2020 |
CNN |
RL |
Tensorflow |
NAS-BENCH-201: Extending the Scope of Reproducible Neural Architecture Search |
ICLR2020 |
- |
- |
PyTorch |
Understanding Architectures Learnt by Cell-based Neural Architecture Search |
ICLR2020 |
- |
Gradient |
PyTorch |
AtomNAS: Fine-Grained End-to-End Neural Architecture Search |
ICLR2020 |
- |
- |
PyTorch |
Fast Neural Network Adaptation via Parameter Remapping and Architecture Search |
ICLR2020 |
- |
- |
PyTorch |
Once for All: Train One Network and Specialize it for Efficient Deployment |
ICLR2020 |
- |
Gradient |
GitHub |
PC-DARTS: Partial Channel Connections for Memory-Efficient Architecture Search |
ICLR |
- |
Gradient |
PyTorch |
NAS evaluation is frustratingly hard |
ICLR2020 |
- |
- |
GitHub |
FasterSeg: Searching for Faster Real-time Semantic Segmentation |
ICLR2020 |
- |
G |
Pytorch |
Continual and Multi-Task Architecture Search |
ACL2019 |
- |
RL |
PyTorch |
Searching for MobileNetV3 |
ICCV |
MobileNet |
EA |
PyTorch |
One-Shot Neural Architecture Search via Self-Evaluated Template Network |
ICCV2019 |
- |
Gradient |
PyTorch |
Evolving Space-Time Neural Architectures for Videos |
ICCV2019 |
- |
EA |
Tensorflow |
AutoGAN: Neural Architecture Search for Generative Adversarial Networks |
ICCV2019 |
- |
RL |
github |
Discovering Neural Wirings |
NeurIPS2019 |
GAN |
Gradient |
Github |
Towards modular and programmable architecture search |
NeurIPS2019 |
- |
Other |
Github |
Deep Active Learning with a Neural Architecture Search |
NeurIPS2019 |
- |
- |
Keras |
Efficient Forward Architecture Search |
NeurIPS2019 |
- |
Gradient |
Github |
DARTS: Differentiable Architecture Search |
ICLR2019 |
- |
Gradient |
github |
ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware |
ICLR2019 |
- |
RL/Gradient |
github |
Searching for A Robust Neural Architecture in Four GPU Hours |
CVPR2019 |
- |
Gradient |
Github |
MnasNet: Platform-Aware Neural Architecture Search for Mobile |
CVPR2019 |
- |
RL |
Github |
NAS-Bench-101: Towards Reproducible Neural Architecture Search |
ICML2018 |
- |
Other |
Github |
Efficient Neural Architecture Search via Parameter Sharing |
ICML2018 |
- |
RL |
github |
Path-Level Network Transformation for Efficient Architecture Search |
ICML2018 |
- |
RL |
github |
SMASH: One-Shot Model Architecture Search through HyperNetworks |
ICLR2018 |
- |
G |
github |
Neural Architecture Search with Bayesian Optimisation and Optimal Transport |
NeurIPS2018 |
- |
Bayesian |
github |
Designing Neural Network Architectures using Reinforcement Learning |
ICLR2017 |
- |
RL |
github |