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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- OncoTraj: a public benchmark for longitudinal resistance prediction in EGFR-mutant non-small-cell lung cancer on osimertinibAbhijoy Sarkar, Aarchi Singh Thakur · arXiv · Jun 9, 2026
Resistance to first-line osimertinib in EGFR-mutant non-small-cell lung cancer (NSCLC) is the canonical example of predictable clonal evolution under therapeutic pressure, yet no public benchmark exists for training or evaluating computatio…
- Turning the TIDE: Cross-Architecture Distillation for Diffusion Large Language ModelsGongbo Zhang, Wen Wang, Ye Tian, Li Yuan · arXiv · Apr 29, 2026
Diffusion large language models (dLLMs) offer parallel decoding and bidirectional context, but state-of-the-art dLLMs require billions of parameters for competitive performance. While existing distillation methods for dLLMs reduce inference…
- Random Cloud: Finding Minimal Neural Architectures Without TrainingJavier Gil Blázquez · arXiv · Apr 29, 2026
I propose the \emph{Random Cloud} method, a training-free approach to neural architecture search that discovers minimal feedforward network topologies through stochastic exploration and progressive structural reduction. Unlike post-training…
- Replay-buffer engineering for noise-robust quantum circuit optimizationAkash Kundu, Sebastian Feld · arXiv · Apr 23, 2026
Deep reinforcement learning (RL) for quantum circuit optimization faces three fundamental bottlenecks: replay buffers that ignore the reliability of temporal-difference (TD) targets, curriculum-based architecture search that triggers a full…
- Connecting the dots for biodiversity action from the NAS/Royal Society ForumAnil Madhavapeddy · OpenAlex · Mar 7, 2026
<ns4:p>Last summer I spoke at the US-UK Forum on Measuring Biodiversity at the National Academy of Sciences, jointly organised with the Royal Society. Two companion papers from that forum have just been published in PNAS to turn the Washing…
- 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, Deva 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 …
- 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…
- Jet-Nemotron: Efficient Language Model with Post Neural Architecture SearchYuxian Gu, Qinghao Hu, Shang Yang, Haocheng Xi et al. · arXiv.org · 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…
- Causal-aware Graph Neural Architecture Search under Distribution ShiftsPeiwen Li, Xin Wang, Zeyang Zhang, Yi Qin et al. · Knowledge Discovery and Data Mining · Aug 3, 2025
Graph neural architecture search (NAS) has emerged as a promising approach for autonomously designing graph neural network architectures by leveraging correlations between graphs and architectures. However, existing methods merely rely on c…
- GA-OMTL: Genetic algorithm optimization for multi-task neural architecture search in NIR spectroscopyYu Yang, Siqi Wang, Gan Zhang, Qifu Wang et al. · Expert systems with applications · Jun 1, 2025
- Neural Architecture Search-Guided Physics-Informed Neural Network for Energy Management in Hybrid Energy Storage System with Electric VehiclesM.Sivaramkrishnan, Ancelin L, M. Ramkumar, O. J. J. A. Al Jawad et al. · International Conference on Industrial Mechatronics and Automation · May 28, 2025
An efficient Energy Management (EM) of a Hybrid Energy Storage System (HESS) combining batteries and Supercapacitors (SCs) is essential for enhancing the performance and reliability of Electric Vehicles (EVs). However, challenges such as hi…
- Defying Multi-Model Forgetting in One-Shot Neural Architecture Search Using Orthogonal Gradient LearningLianbo Ma, Yuee Zhou, Ye Ma, Guo Yu et al. · IEEE transactions on computers · May 1, 2025
One-shot neural architecture search (NAS) trains an over-parameterized network (termed as supernet) that assembles all the architectures as its subnets by using weight sharing for computational budget reduction. However, there is an issue o…
- Systematic review on neural architecture searchSasan Salmani Pour Avval, Nathan Eskue, Roger M. Groves, Vahid Yaghoubi · Artificial Intelligence Review · Jan 6, 2025
Machine Learning (ML) has revolutionized various fields, enabling the development of intelligent systems capable of solving complex problems. However, the process of manually designing and optimizing ML models is often time-consuming, labor…
- Neural Architecture Search Based Deepfake Detection Model using YOLOSomnath Banerjee, Bhuman Vyas, Shalini Sivasamy, Mahaboob Subhani Shaik · International Journal of Advanced Research in Science, Communication and Technology · Jan 6, 2025
Deepfakes are intentionally created to disseminate false information or serve malicious purposes. Detecting deepfakes has become increasingly difficult due to the advancing technology involved in their creation. This paper introduces a deep…
- Spiking Spatiotemporal Neural Architecture Search for EEG-Based Emotion RecognitionWei Li, Zhihao Zhu, Shitong Shao, Yao Lu et al. · IEEE Transactions on Instrumentation and Measurement · Jan 1, 2025
Spiking neural network (SNN) has the promising ability to take advantage of the spatiotemporal information from electroencephalogram (EEG) for emotion recognition. However, manually designing suitable SNN architectures needs considerable ef…
- A Novel Centralized Federated Deep Fuzzy Neural Network with Multi-objectives Neural Architecture Search for Epistatic DetectionXiang Wu, Yongting Zhang, K. Lai, Ming Yang et al. · IEEE transactions on fuzzy systems · Jan 1, 2025
Epistasis detection (ED) was widely used for identifying potential risk disease variants in the human genome. A statistically meaningful ED typically requires a more extensive dataset to detect complex disease-associated single nucleotide p…
- Beyond Performance: Designing a Super-Resolution Architecture Search Space and a Hybrid Multi-Objective Approach for Neural Architecture OptimizationJ. L. L. García, Raúl Monroy, V. S. Hernández, Kalyanmoy Deb · IEEE Access · Jan 1, 2025
Multi-objective neural architecture search (NAS) for super-resolution image restoration (SRIR) targets models that simultaneously deliver high-fidelity reconstructions and respect strict computational budgets—requirements that single-object…
- SceneFormer: Neural Architecture Search of Transformers for Remote Sensing Scene ClassificationLyuyang Tong, Jie Liu, Bo Du · IEEE Transactions on Geoscience and Remote Sensing · Jan 1, 2025
Deep learning-based scene classification methods have long been a key research area in remote sensing imagery due to their wide-ranging applications. Recently, Transformer models have achieved significant progress in computer vision, making…
- Score Predictor-Assisted Evolutionary Neural Architecture SearchPengcheng Jiang, Yu Xue, Ferrante Neri · IEEE Transactions on Emerging Topics in Computational Intelligence · Jan 1, 2025