AutoML.org

Freiburg-Hannover-Tübingen

Literature on Neural Architecture Search

Maintained by Difan Deng and Marius Lindauer.

The following list considers papers related to neural architecture search. It is by no means complete. If you miss a paper on the list, please let us know.

Please note that although NAS methods steadily improve, the quality of empirical evaluations in this field are still lagging behind compared to other areas in machine learning, AI and optimization. We would therefore like to share some best practices for empirical evaluations of NAS methods, which we believe will facilitate sustained and measurable progress in the field. If you are interested in a teaser, please read our blog post or directly jump to our checklist.

Transformers have gained increasing popularity in different domains. For a comprehensive list of papers focusing on Neural Architecture Search for Transformer-Based spaces, the awesome-transformer-search repo is all you need.

4488 entries « ‹ 3 of 90 › »

2025

4388.

Christobel, V. K. Emmanual Jude S Sivakumar T. Papitha

Pictureperfect: A Fusion Of Sparsenas And Ensemble Magic For Advanced Image Classification Journal Article

In: Metallurgical and Materials Engineering, pp. 206–212, 2025.

4387.

Gupta, Ujjwal K.; Mishra, Shweta; Sharma, Shashikant A.

One day Ahead Forecasting of INSAT-3D Solar Irradiance Using Automated Deep ConvLSTM Network Journal Article

In: Journal of the Indian Society of Remote Sensing , 2025.

4386.

Peng, Yang; Zhou, Shen Yao Huaichun; Chen, Yang; Zheng, Zhenyu; Gong, Xun

Online Quantitative Monitoring of Microalgae Concentration Using a Coupled Neural Network with Self-Search and Group Convolution Miscellaneous

2025.

4385.

(Ed.)

Prior Knowledge Guided Neural Architecture Generation Collection

2025.

4384.

Jeevidha, S.; Saraswathi, S.

Implementation of vision transformer with adaptive neural architecture search for automated colon cancer classification through analysis of images Journal Article

In: Signal, Image and Video Processing , 2025.

4383.

(Ed.)

Improved search in graph AutoML: expansion and dynamic prioritization in the search space for enhanced efficiency Collection

2025.

4382.

Amjala, Shravan Kumar

Advancing Machine Learning Systems: A Comprehensive Analysis of Model Efficiency and Scalability Journal Article

In: Journal of Computer Science and Technology Studies, vol. 7, no. 6, pp. 679–683, 2025.

4381.

Prete, Roberto Del; andAndrea Mazzeo, Parampuneet Kaur Thind; Whitley, Matthew; Papa, Lorenzo; Longepe, Nicolas; Meoni, Gabriele

Optimizing Deep Learning Models for On-Orbit Deployment Through Neural Architecture Search Miscellaneous

2025.

4380.

Rex P. Flejoles, Joey S. Aviles

A Developed Tunable Model against Prebuild Applications to Classify Emotions Journal Article

In: International Journal of Science and Management Studies (IJSMS), vol. 8, iss. 3, 2025.

4379.

David, Oluremi

Designing Lightweight Deep Neural Networks for Real- Time Bioinformatics Applications on Edge Devices Technical Report

2025.

4378.

David, Oluremi

Joint Optimization of Neural Network Architecture and Inference Paths for Multi-Omics Data Integration Technical Report

2025.

4377.

Yichao Wang Mengyu Sun, Peng Wang

SP-HRNet: single-path neural architecture search for human pose estimation Journal Article

In: Discover Applied Sciences , 2025.

4376.

Liu, Xuncheng; Zhang, Weizhan; Gong, Tieliang; Yan, Caixia; Li, Rui

Leveraging differentiable NAS and abstract genetic algorithms for optimizing on-mobile VSR performance Journal Article

In: Machine Learning , 2025.

4375.

Zou, Zhenwan; Wang, Bin; Chen, Tao; Chen, Jia

Research on power data security full-link monitoring technology based on alternative evolutionary graph neural architecture search and multimodal data fusion Bachelor Thesis

2025.

4374.

Song, Changwei; Ma, Yongjie; Ping, Haoyu; Sun, Lisheng

Evolutionary neural architecture search for traffic sign recognition Journal Article

In: Optoelectronics Letters, 2025.

4373.

(Ed.)

TrajGNAS: Heterogeneous Multiagent Trajectory Prediction Based on a Graph Neural Architecture Search Collection

2025.

4372.

Xu, Hongyan

Deep learning-based skin cancer diagnosis PhD Thesis

2025.

4371.

Mishra, Someshwar; Singh, Baibhav; Ansari, Maruf

Tomato Leaf Disease Detection Journal Article

In: International Journal on Science and Technology (IJSAT), vol. 16, iss. 2, 2025.

4370.

(Ed.)

Multicriteria structural-parametric synthesis of optimal hybrid CNN structure for image processing⋆ Collection

2025.

4369.

Zuo, Yingli; Wang, Lianyu; Liu, Jianxin; Feng, Shichang; Wang, Yuling; Zhu, Qi; Shao, Wei; Zhang, Daoqiang

TAFL: Task-Agnostic Feature Learner for Efficient Adaptation to Unseen Clinical Tasks based on Whole-Slide Histopathological Images Journal Article

In: IEEE Trans Med Imaging , 2025.

4368.

K, Venkata Ratna Prabha; Bindu, Chinni Hima; Devi, K Rama

An interpretable deep learning approach for autism spectrum disorder detection in children using NASNet-mobile Journal Article

In: Biomedical Physics & Engineering Express, vol. 11, no. 4, pp. 045006, 2025.

Abstract | Links | BibTeX

@article{K_2025,

title = {An interpretable deep learning approach for autism spectrum disorder detection in children using NASNet-mobile},

author = {Venkata Ratna Prabha K and Chinni Hima Bindu and K Rama Devi},

url = {https://dx.doi.org/10.1088/2057-1976/addbe7},

doi = {10.1088/2057-1976/addbe7},

year  = {2025},

date = {2025-06-01},

urldate = {2025-06-01},

journal = {Biomedical Physics & Engineering Express},

volume = {11},

number = {4},

pages = {045006},

publisher = {IOP Publishing},

abstract = {Autism spectrum disorder (ASD) is a multifaceted neurodevelopmental disorder featuring impaired social interactions and communication abilities engaging the individuals in a restrictive or repetitive behaviour. Though incurable early detection and intervention can reduce the severity of symptoms. Structural magnetic resonance imaging (sMRI) can improve diagnostic accuracy, facilitating early diagnosis to offer more tailored care. With the emergence of deep learning (DL), neuroimaging-based approaches for ASD diagnosis have been focused. However, many existing models lack interpretability of their decisions for diagnosis. The prime objective of this work is to perform ASD classification precisely and to interpret the classification process in a better way so as to discern the major features that are appropriate for the prediction of disorder. The proposed model employs neural architecture search network - mobile(NASNet-Mobile) model for ASD detection, which is integrated with an explainable artificial intelligence (XAI) technique called local interpretable model-agnostic explanations (LIME) for increased transparency of ASD classification. The model is trained on sMRI images of two age groups taken from autism brain imaging data exchange-I (ABIDE-I) dataset. The proposed model yielded accuracy of 0.9607, F1-score of 0.9614, specificity of 0.9774, sensitivity of 0.9451, negative predicted value (NPV) of 0.9429, positive predicted value (PPV) of 0.9783 and the diagnostic odds ratio of 745.59 for 2 to 11 years age group compared to 12 to 18 years group. These results are superior compared to other state of the art models Inception v3 and SqueezeNet.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

4367.

Lan, Guojun; Shi, Mingshan; Tang, Jian; He, Yiqiong; Ji, Yunbo

An efficient safety prediction and control strategy using fuzzy neural network architecture search in islanded microgrids Journal Article

In: Discover Computing , 2025.

4366.

Shahzad, Tariq; Saqib, Sheikh Muhammad; Mazhar, Tehseen; Iqbal, Muhammad; Almogren, Ahmad; Ghadi, Yazeed Yasin; Saeed, Mamoon M.; Hamam, Habib

MobNas ensembled model for breast cancer prediction Journal Article

In: scientific reports , 2025.

4365.

Alizadeh, Mahhya; Jameii, Seyed Mahdi; Reza, Akram

An improved NSGA-II algorithm based on fuzzy logic and learning automata for automatically designing the convolutional neural network for image classification Journal Article

In: Multimedia Tools and Applications , 2025.

4364.

Rahman, Md Hafizur; Haider, Zafaryab; Chakraborty, Prabuddha

An automated multi parameter neural architecture discovery framework using ChatGPT in the backend Journal Article

In: Scientific Reports, 2025.

4363.

Gopal, Bhavna

Optimizing Deep Neural Networks: Leveraging Structural Characteristics for Enhanced NAS and Adversarial Robustness PhD Thesis

2025.

4362.

Athmani, Khaled; Almeasar, Kamal Saleh; Atiki, Elhoussine; Habal, Adel Hassan Yahya; Taallah, Bachir; Guettala, Abdelhamid

Machine learning methods for predicting the durability behavior of earth mortars with date palm ash Journal Article

In: Asian Journal of Civil Engineering , 2025.

4361.

Boukela, Lynda; Branlard, Julien; Eichler, Annika

Exploring NAS for anomaly detection in superconducting cavities of particle accelerators Journal Article

In: Front. Phys., 2025.

4360.

(Ed.)

CG-CANTS-N: A Versatile Graph-Based Framework for Scalable and Adaptive Problem Solving Across Domains Collection Forthcoming

Forthcoming.

4359.

Rubbani, Syeda

Neuroevolutionary Optimization of Shannon’s Capacity in Edge AI Protocols for M2M Communication Technical Report

2025.

4358.

Gupta, Rajat; Jindal, Rakesh

Impact of Too Many Neural Network Layers on Overfitting Journal Article

In: International Journal of Computer Science and Mobile Computing, 2025.

4357.

Randive, Pallavi; Bhagat, Madhuri S.; Bhorkar, Mangesh P.; Bhagat, Rajesh M.; Vinchurkar, Shilpa M.; Shelare, Sagar; Sharma, Shubham; Beemkumar, N.; Hemalatha, S.; Kumar, Parveen; Kedia, Ankit; Massoud, Ehab El Sayed; Gupta, Deepak; Lozanovic, Jasmina

Adaptive optimization of natural coagulants using hybrid machine learning approach for sustainable water treatment Journal Article

In: nature scientific reports , 2025.

4356.

Alagoz, Baris Baykant; Keles, Cemal; Ates, Abdullah; Özdemir, Edanur; Alkhulaifi, Nasser

Optimal deep neural network architecture design with improved generalization for data-driven cooling load estimation problem Journal Article

In: Neural Computing and Applications, 2025.

4355.

Liu, Xukun; Lv, Haoze; Ma, Fenglong; Wang, Chi; Xu, Dongkuan (DK)

DyESP: Accelerating Hyperparameter-Architecture Search via Dynamic Exploration and Space Pruning Journal Article

In: Proceedings of the AAAI Symposium Series, vol. 5, no. 1, pp. 172-179, 2025.

4354.

Gong, Tao; Wang, Liang; Ma, Yongjie

Evolutionary neural architecture search based on a modified particle swarm optimization Journal Article

In: International Journal of Machine Learning and Cybernetics , 2025.

4353.

Su, Jun; Tang, Chaolong; Liu, Zhiquan

A Prediction Optimization Method with Federated Learning and Neural Architecture Search for Distributed Renewable Energy Sources Journal Article

In: Distributed Generation &amp; Alternative Energy Journal, vol. 40, no. 02, pp. 213–238, 2025.

4352.

Meyer-Lee, Gabriel

Towards Practical Automation of Neural Architecture Design PhD Thesis

2025.

4351.

Melo, Thadeu Pezzin; Andrade, Jefferson Oliveira; Komati, Karin Satie

A Pipeline for Multivariate Time Series Forecasting of Gas Consumption in Pelletization Process Journal Article

In: CLEIej, 2025.

4350.

Ranjan, Vivek; Pal, Riya; Saini, Prashant; Nirala, Divyanshu Raj

Neural Architecture Search: Designing Automated AI Models Miscellaneous

2025.

4349.

M, V T Ram Pavan Kumar; Shieh, Chin-Shiuh; S, Siva Shankar; Chakrabarti, Prasun

PNASFH-Net: Parallel NAS forward harmonic Network for colon cancer detection using CT images Journal Article

In: Future Technology, vol. 4, no. 2, pp. 76–91, 2025.

4348.

Chang, Lei; Rani, Shalli; Akbar, Muhammad Azeem

ChampionNet: a transformer-enhanced neural architecture search framework for athletic performance prediction and training optimization Journal Article

In: Discover Computing , 2025.

4347.

alshahrani, Rami Ayied; Khanzada, Tariq Jamil Saifullah

Improved Crime Prediction using Hybrid Neural Architecture Search together with Hyper-parameter Tuning Technical Report

2025.

4346.

Lan, Guojun; Tang, Jian; Chen, Jie; Xing, Jingshu; Zhao, Lijun

An effective dual-predictor controller mechanism using neural architecture search for optimization of residential energy hub system Journal Article

In: Discover Computing , vol. 28, 2025.

4345.

Castagnetti, Andrea; Pegatoquet, Alain; Miramond, Benoit; Montfort, Olivier; Huard, Vincent

Hardware-Aware Neural Architecture Search for~Memory constrained Embedded~Neural Networks~Accelerators Proceedings Article

In: 7th IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS 2025), pp. 5, Bordeaux, France, 2025.

4344.

Wu, Yue; Huang, Lin; Yang, Tiejun

Breast Ultrasound Image Segmentation Using Multi-branch Skip Connection Search Journal Article

In: Journal of Imaging Informatics in Medicine , 2025.

4343.

CAPELLO, ALESSIO

An End-to-End Edge-Computing Framework for IoT-enabled Monitoring PhD Thesis

2025.

4342.

Toe, Seb Gregory Dal; Tiddeman, Bernard; Zarges, Christine

Evolutionary Neural Architecture Search using Random Weight Distributions Proceedings Article

In: Ochoa, Gabriela (Ed.): Proceedings of the Genetic and Evolutionary Computation Conference Companion, GECCO 2025, Málaga, Spain, July 14-18, 2025, Association for Computing Machinery (ACM), United States of America, 2025, (GECCO 2025 : The Genetic and Evolutionary Computation Conference, GECCO ; Conference date: 14-07-2025 Through 18-07-2025).

Abstract | Links | BibTeX

@inproceedings{581d1ec7c5934c3db7cf4e0f5c2b67f1,

title = {Evolutionary Neural Architecture Search using Random Weight Distributions},

author = {Seb Gregory Dal Toe and Bernard Tiddeman and Christine Zarges},

editor = {Gabriela Ochoa},

url = {https://gecco-2025.sigevo.org/HomePage},

doi = {10.1145/3712255.3726664},

year  = {2025},

date = {2025-03-19},

urldate = {2025-03-19},

booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference Companion, GECCO 2025, Málaga, Spain, July 14-18, 2025},

publisher = {Association for Computing Machinery (ACM)},

address = {United States of America},

abstract = {We consider the problem of efficiently searching for high-performing neural architectures whilst simultaneously favouring networks of reduced complexity. It is theorised that a complementary set of proxies can be employed for multi-objective optimisation to balance model performance with the size of the network. We demonstrate that a low-cost proxy for the test accuracy of a candidate architecture can be derived from a series of inferences alone. The proxy is paired with a complexity metric based on the number of parameters in the model and the two properties are used in a multi-objective setting. A Pareto Archived Evolutionary Strategy is used to optimise the two objectives simultaneously and deliver a diverse collection of solutions as output. This method is shown to successfully discover low-complexity architectures with minor loss of accuracy as compared to the global optima and does so with statistical reliability. This work offers a proof-of-concept Neural Architecture Search algorithm that removes training from the process entirely. The proposed approach is examined in terms of search behaviour and the complexity reduction that can be achieved by comparing discovered solutions to the top-performing architectures in the search space.},

note = {GECCO 2025 : The Genetic and Evolutionary Computation Conference, GECCO ; Conference date: 14-07-2025 Through 18-07-2025},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

4341.

Tran, Thanh Hai; Nguyen, Dac Tam; Ngo, Minh Duc; Doan, Long; Luong, Ngoc Hoang; Binh, Huynh Thi Thanh

Kernelshap-nas: a shapley additive explanatory approach for characterizing operation influences Journal Article

In: Neural Computing and Applications , 2025.

4340.

Ju, Moran; Niu, Buniu; Li, Mulin; Mao, Tengkai; Jin, Si-nian

Toward Better Accuracy-Efficiency Trade-Offs for Oriented SAR Ship Object Detection Bachelor Thesis

2025.

4339.

Liu, Guoqing; Qian, Yuhua; Liang, Xinyan; Fu, Pinhan

Core structure-guided multi-modal classification via Monte Carlo Tree Search Journal Article

In: International Journal of Machine Learning and Cybernetics , 2025.

4488 entries « ‹ 3 of 90 › »