Latest Neural Architecture Search Research Papers
The newest Neural Architecture Search papers from across the field — arXiv, NeurIPS, CVPR, Nature, and more — refreshed daily and ranked by relevance. Distill AI tracks Neural Architecture Search so you don’t have to: get the standout work delivered to your inbox every morning, with 2-sentence summaries and the option to chat with any paper.
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- CoRA-NAS: Coarse Ranking and Anchor-Residual Refinement for Neural Architecture SearchYifan Yang, Zhaoyan Wang, Zheng Gao, Xiaoyu Li et al. · arXiv · Sep 10, 2026
Zero-cost proxies rank architectures cheaply, but their reliability varies across search spaces. We introduce CoRA-NAS (COarse Ranking + Anchor-residual), a two-stage framework combining a static ranking prior with low-cost learning-curve r…
- LoRA-TSD: Tangent-Space Spectral Descent for LoRA via Muon-Style UpdatesDmitrii Andriianov, Andrey Veprikov, Aleksandr Beznosikov · arXiv · Sep 2, 2026
Low-rank adaptation (LoRA) is the standard way to fine-tune large models, yet when its two factors are trained independently, the update ignores the geometry of the low-rank weight change it induces. We introduce LoRA-TSD, an optimizer that…
- ArtNAS-Style: Style-Prior-Guided Differentiable Architecture Search for Artwork RecognitionChunhu Shi, Shu Gong, He Jiye · Electronics · Sep 2, 2026
Recognizing visual artworks is difficult because images of art combine large within-class diversity, ambiguous boundaries, and non-photographic textures with intertwined cues related to the artist, genre, style, and historical period. Stand…
- Microcontroller neural architecture search: An automated framework for developing a fall detection systemSeyed Mojtaba Mohasel, John W. Sheppard, Lindsey K. Molina, Richard R. Neptune et al. · Engineering Applications of... · Sep 2, 2026
- Intelligent automated code review and software quality evaluation: a survey of AutoML and large language model techniquesRohan Appasaheb Borgalli, Uma Raj, Shwetha Shetty · Automated Software Engineering · Aug 21, 2026
- On the Fragility of Self-Improving Agents: Variance, Task Order, and UnderspecificationQinyuan Ye, Yu Li, Yada Pruksachatkun, Jiaxin Zhang et al. · arXiv · Aug 18, 2026
Memory-based self-improving agents--those that learn from an online stream of tasks and improve over time by maintaining a textual memory bank--have shown great promise in recent literature. However, the reliability aspects of these methods…
- G-EvoNAS: Evolutionary neural architecture search based on network growthJinghui Tong, Weiwei Jiang, Juan Zou, Yizhang Xia · Swarm and Evolutionary Comp... · Aug 18, 2026
- LP-NAS: Linear Programming-based Neural Architecture SearchAbhishek Shukla, Ankur Sinha, Faiz Hamid · arXiv · Aug 14, 2026
Neural Architecture Search (NAS) aims to automate neural network architecture design, reducing reliance on human expertise. Among the various NAS methods, differentiable NAS has gained prominence due to its efficiency and accuracy compared …
- Designing Compact Neural Architectures via Neuron Gating and Mixed ActivationAbhishek Shukla, Ankur Sinha, Faiz Hamid · arXiv · Aug 14, 2026
Neural Architecture Search (NAS) is naturally formulated as a bilevel optimization problem, where the upper-level optimizes the architecture using validation performance and the lower-level trains network parameters using training loss. How…
- A gear fault diagnosis method based on neural network architecture search with cross-modal dynamic convolution enhancementJialin Li, Kun Long, Yong Xiao, Renxiang Chen et al. · Engineering Research Express · Aug 12, 2026
Abstract Multimodal fault diagnosis has attracted widespread attention in the field of rotating ma-chinery due to the complementary information provided by multiple sensor signals. However, the design of signal fusion networks and the extra…
- Automated machine learning model to predict anti-tuberculosis drug-induced liver injury in patients with tuberculous meningitisPengyu Li, Yang Yang, 席兰艳, Ling Li et al. · Frontiers in Pharmacology · Aug 12, 2026
Background Tuberculous meningitis (TBM) is a severe central nervous system infection with high disability and mortality rates. However, during TBM treatment, anti-tuberculosis drug-induced liver injury (ATB-DILI) often precipitates treatmen…
- A Lightweight Dynamic Gesture Recognition Model Driven by Meta-Learning Under Small Sample ConditionsYaxu Xue, Feifei Ru, Jiawu He, Yadong Yu · Symmetry · Aug 10, 2026
Dynamic gesture recognition under small-sample conditions remains challenging due to the large variations caused by users, viewpoints, motion patterns, and hand configurations. This study proposes a lightweight dynamic gesture recognition f…
- A progressive constraint and adaptive filter pruning framework for lightweight evolutionary neural architecture searchJuan Xie, Shimao Jiang, Ke Xu, Xinping Xie et al. · Memetic Computing · Aug 7, 2026
- Neural architecture search for computer vision tasksAlessio Mingozzi · OpenAlex · Aug 7, 2026
- HRL-NAS: An Adaptive hierarchical framework with Pareto dominance for Rolling Bearings Remaining Useful Life PredictionJingsong Xie, Siyu Jiang, Yuntian Ta, Tongyang Pan et al. · Measurement Science and Tec... · Aug 5, 2026
Abstract In the development of lifespan prediction models, existing manual design methods are inefficient. Furthermore, the stringent lightweighting requirements for edge deployment often lead to resource constraints or performance degradat…
- AnalogNAS-ViT: Benchmarking and Supernet-Based Neural Architecture Search for Vision Transformers under Analog ConstraintsDouaa Hennane, Nour El-houda · OpenAlex · Aug 2, 2026
- Comprehensive Review of Neural Architecture Search (NAS) for Transformer ModelsDouaa Hennane, Rahal El-Houda · OpenAlex · Aug 2, 2026
- GeoLiquefy-AI: Predicting Soil Liquefaction Potential via Deep Neural Architecture Search in Seismically Active Coastal ZonesSalima Ait El Hocine, Fatiha Debiche, Mohammed Amin Benbouras, Tahar Messafer et al. · Land · Jul 26, 2026
Earthquake-induced soil liquefaction represents a severe geohazard causing catastrophic infrastructure failure in prone coastal zones, requiring an advanced environmental spatial assessment for their sustainable land-use planning. This stud…
- A stacking based deep learning framework integrating random search neural architecture search for meniscus tear diagnosisEbubekir Seyyarer, Hasan Genç, Faruk Ayata · Journal of Applied Clinical... · Jul 22, 2026
BACKGROUND: Accurate and rapid diagnosis of meniscal tears is crucial for effective management of sports-related injuries and degenerative knee disorders. Magnetic resonance imaging (MRI) is widely used for meniscus evaluation; however, man…
- HEC-NAS-FDS: hybrid expert-conditioned exhaustive neural network architecture search over finite design spaceEva Holasová, Radek Fujdiak, Petr Mlýnek · Scientific Reports · Jul 17, 2026
This article presents a new proof-of-concept method called Hybrid Expert-Conditioned Exhaustive Neural Network Architecture Search over Finite Design Space (HEC-NAS-FDS), which aims to find a suitable deep neural network (DNN) architecture …
- Agentic Neural Architecture SearchSeokhoon Jeong, Mijung Kim, Taehwan Kim · ICML 2026 Workshop DL4C Poster · Jun 16, 2026
Neural architecture search (NAS) methods have grown increasingly efficient, yet they remain bounded by manually engineered search spaces that require substantial domain expertise and must be rebuilt for every new task. Large language models…
- pTNAS: Progressive Neural Architecture Search for Tabular DataNaili Xing, Shaofeng Cai, Lingze Zeng, Jiaqi Zhu et al. · ICML 2026 regular · Apr 30, 2026
Recent advances have shifted the paradigm of tabular learning toward tabular foundation models, yet their accuracy relies on a heavy inference cost that scales poorly with context size. Deep neural networks remain a highly competitive and m…
- An Evolutionary Multiobjective Neural Architecture Search Approach to Advancing Cognitive Diagnosis in Intelligent EducationShangshang Yang, Haiping Ma, Ying Bi, Ye Tian et al. · IEEE Transactions on Evolutionary Computation · Dec 1, 2025
As a pivotal technique in intelligent education systems, cognitive diagnosis (CD) serves to reveal students’ knowledge proficiency for better tackling subsequent tasks. Unfortunately, due to pursuing high model interpretability, existing ma…
- RF-DETR: Neural Architecture Search for Real-Time Detection TransformersIsaac Robinson, Peter Robicheaux, Matvei Popov, D. Ramanan et al. · arXiv.org · Nov 12, 2025
Open-vocabulary detectors achieve impressive performance on COCO, but often fail to generalize to real-world datasets with out-of-distribution classes not typically found in their pre-training. Rather than simply fine-tuning a heavy-weight …
- Optimizing deep learning models for on-orbit deployment through neural architecture searchRoberto Del Prete, P. Thind, Andrea Mazzeo, Matthew Whitley et al. · Scientific Reports · Oct 29, 2025
Advancements in spaceborne edge computing have facilitated the incorporation of Artificial Intelligence (AI)-powered chips into CubeSats, enabling intelligent data handling and enhanced analytical capabilities with greater operational auton…
- Neural Architecture Search with Progressive Evaluation and Subpopulation PreservationYu Xue, Jiajie Zha, Danilo Pelusi, Peng Chen et al. · IEEE Transactions on Evolutionary Computation · Oct 1, 2025
Neural architecture search (NAS) is an effective approach for automating the design of deep neural networks. Evolutionary computation (EC) is commonly used in NAS due to its global optimization capability. However, the evaluation phase of a…
- Distilling SNN Students from ANN Teachers via Spiking Neural Architecture SearchXiaotian Song, Yanan Sun · Submitted to ICLR 2026 · Sep 19, 2025
Bridging the performance gap between Spiking Neural Networks (SNNs) and Artificial Neural Networks (ANNs) under low timesteps remains a critical challenge in the SNN community. Recent work uses either ANN-supervised training or automated ar…
- RDNAS: Robust Dual-Branch Neural Architecture SearchSongbai Liu, GuanHeng Huang · ICLR 2026 Conference Withdrawn Submission · Sep 19, 2025
Deep neural networks have achieved remarkable success but remain highly vulnerable to adversarial perturbations, posing serious challenges in safety-critical applications. We propose **RDNAS**, a robust dual-branch neural architecture searc…
- PEL-NAS: Search Space Partitioned Architecture Prompt Co-evolutionary LLM-driven Hardware-Aware Neural Architecture SearchHengyi Zhu, Grace Li Zhang, Shaoyi Huang · ICLR 2026 Conference Withdrawn Submission · Sep 17, 2025
Hardware-Aware Neural Architecture Search (HW-NAS) requires joint optimization of accuracy and latency under device constraints. Traditional supernet-based methods require multiple GPU days per dataset. Large Language Model (LLM)-driven ap…
- Jet-Nemotron: Efficient Language Model with Post Neural Architecture SearchYuxian Gu, Qinghao Hu, Haocheng Xi, Junyu Chen et al. · Neural Information Processing Systems · Aug 21, 2025
We present Jet-Nemotron, a new family of hybrid-architecture language models, which matches or exceeds the accuracy of leading full-attention models while significantly improving generation throughput. Jet-Nemotron is developed using Post N…