Notes for daily reading papers
####Have Read####
Open reviwer Link
Abb. |
title |
pdf |
code |
Brief |
AtomNAS |
AtomNAS: Fine-Grained End-to-End Neural Architecture Search |
ICLR2020 |
pytorch |
|
CRNAS |
Computation Reallocation for Object Detection |
ICLR2020 |
None |
SenseTime |
|
Evaluating The Search Phase of Neural Architecture Search |
ICLR2020 |
pytorch |
EPFL |
Abb. |
title |
pdf |
code |
Brief |
SNAS |
SNAS: STOCHASTIC NEURAL ARCHITECTURE SEARCH |
ICLR2019 |
pytorch |
|
No. |
Abb. |
title |
pdf |
code |
Brief |
1. |
DARTS |
DARTS: DIFFERENTIABLE ARCHITECTURE SEARCH |
ICLR 2019 |
Pytorch1; Pytorch2 Pytorch3 |
Architecture Search |
2. |
|
Customizable Architecture Search for Semantic Segmentation |
CVPR 2019 |
[NO] |
Architecture Search; Classification |
3. |
|
NAS-Unet: Neural Architecture Search for Medical Image Segmentation |
IEEE Access |
Pytorch |
Architecture Search; Medical Image Segmentation |
4. |
C2FNAS |
C2FNAS: Coarse-to-Fine Neural Architecture Search for 3D Medical Image Segmentation |
arxiv |
[NO] |
Architecture Search; Medical Image Segmentation |
5. |
HiNAS |
Memory-Efficient Hierarchical Neural Architecture Search for Image Denoising |
CVPR2020 |
[NO] |
Architecture Search; image denoising and de-raining |
5.5 |
NAS-FCOS |
NAS-FCOS: Fast Neural Architecture Search for Object Detection |
CVPR2020 |
Pytorch |
Object Detection; based on maskrcnn-benchmark |
6. |
Auto-deeplab (hnasnet) |
Auto-deeplab: Hierarchical neural architecture search for semantic image segmentation |
CVPR 2019 oral |
Tensorflow; Pytorch1; Pytorch2 |
Architecture Search |
7. |
UnNAS |
Are Labels Necessary for Neural Architecture Search? |
arxiv |
None |
Note1 Note2 |
No. |
Abb. |
title |
pdf |
code |
Brief |
1. |
NAS-FPN |
NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection |
CVPR |
tensorflow |
Architecture Search |
2. |
SpineNet |
SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization |
CVPR |
-- |
Architecture Search |
3. |
XNAS |
XNAS: Neural Architecture Searchwith Expert Advice |
NeurIPS 2019 |
Pytorch |
Poster |
No. |
Abb. |
title |
pdf |
code |
Brief |
1. |
ENAS |
Efficient Neural Architecture Search via Parameter Sharing |
ICML 2018 |
tensorflow; Pytorch |
Architecture Search |
2. |
SMASH |
SMASH: One-Shot Model Architecture Search through HyperNetworks |
ICLR 2018 |
Pytorch |
Architecture Search |
3. |
ProxylessNAS |
ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware |
ICLR 2019 |
Pytorch&Tensorflow |
Architecture Search |
4. |
|
OPTIMIZATION AS A MODEL FOR FEW-SHOT LEARNING |
ICLR 2017 |
Pytorch;Lua Torch |
Meta-learning; LSTM |
5. |
DPC |
Searching for Efficient Multi-Scale Architectures for Dense Image Prediction |
NIPS 2018 |
Link |
NAS; AutoML |
6. |
Matching Nets (MN) |
Matching Networks for One Shot Learning |
NIPS 2016 |
Tensorflow; Pytorch |
One-Shot Learning; AutoML |