The list includes the papers related to NAS I have read. All of them are grouped into three classes ( Search Space, Seach strategy and evaluation strategy) based on my subjectivity.
| Data | Title | Venue | Notes |
|---|---|---|---|
| 2018 | Neural Architecture Search: A Survey | JMLR | - |
| 2008 | Neuroevolution: From Architectures to Learning | Evolutionary Intelligence | - |
| 1999 | Evolving Artificial Neural Networks | IEEE | - |
| Data | Title | Venue | Code | Notes |
|---|---|---|---|---|
| 2018 | Neural Architecture Search Over a Graph Search Space | - | - | This paper defined a search space on direct graph which is used to instruct the construction of networks. |
| 2017 | Genetic CNN | ICCV | Tensorflow | This paper proposed a binary string encoding strategy. |
| 2017/18 | Efficient Architecture Search by Network Transformation | AAAI | - | This paper Proposed a popular block based network definition method. |
| 2009 | A Hypercube-based Encoding for Evolving large-scale Neural Networks | IEEE Artificial Life | - | This method use a extended CPPNs to encode the ANN. |
| 2006 | Evolutionary Design of Neural Network Architectures Using a Descriptive Encoding Language | IEEE TEVC | - | This paper proposed a human-readable and writable encoding method. |
| 2002 | Evolving Neural Networks through Augmenting Topologies | EC | - | NEAT: An Awesome Approach to NeuroEvolution |
| 1998 | Network Generating Attribute grammar Encoding | IJCNN | - | Grammar Encoding |
| 1996 | A comparison between cellular encoding and direct encoding for genetic neural networks | - | - | This paper compared the celluar encoding and direct encoding methods |
| 1996 | Evolving Graphs and Networks with Edge encoding: preliminary report | The Genetic Programming Conference | - | Edge Encoding method. |
| 1994 | Neurogenetic learning: an integrated method of designing and training neural networks using genetic algorithms | Physica D | - | This paper inspired by L-System. |
| 1994 | Automatic definition of modular neural networks | Adaptive behavior | - | - |
| 1990 | Designing Neural Networks Using Genetic Algorithms with Graph Generation System | The Conference on Genetic Algorithms | - | This paper proposed a graph grammatical encoding and analysed the problems of the direct encoding method. |
| Data | Title | Venue | Code | Notes |
|---|---|---|---|---|
| 2018 | Reinforced Evolutionary Neural Architecture Search | CVPR | mxnet | EA/RL |
| 2018 | Neural Architecture Optimization | NeurIPS | Pytorch Tensorflow | Gradient Based |
| 2018 | NSGA-NET: A Multi-Objective Genetic Algorithm for Neural Architecture Search | GECCO | - | This paper can be viewed as an extension of Genetic CNN in search strategy and slightly improving in encoding strategy. |
| 2017 | Large-Scale Evolution of Image Classifiers | ICML | - | Google's work. Trying to prove the possibility of evolving CNN automatically. |
| 2017 | SMASH: One-Shot Model Architecture Search through HyperNetworks | NeurIPS | - | Gradient Based |
| 2017 | Neural Architecture Search with Reinforcement Learning | ICLR 2017 | - | RL |
| 2017 | Designing Neural Network Architectures using Reinforcement Learning | ICLR | - | RL |
| Data | Title | Venue | Code | Notes |
|---|---|---|---|---|
| 2018 | Progressive Neural Architecture Search | ECCV | Pytorch Tensorflow | This paper use a predictor to evaluate the acc of each network with few real training. |
| Data | Title | Venue | Code | Notes |
|---|---|---|---|---|
| 2019 | NAS-Bench-101: Towards Reproducible Neural Architecture Search | ICML | Code | A Benchmark of NAS. |
| 2016 | Net2Net: Accelerating Learning via Knowledge Transfer | ICLR 2016 | - | This paper proposed a mehtod (similar to parameters sharing) to transfer the knowledge from previous network to a larger one. |