Neural Architecture Search

Automated Design of Agentic Systems

Shengran Hu, Cong Lu, Jeff Clune

Multi-agent Architecture Search via Agentic Supernet

Guibin Zhang, Luyang Niu, Junfeng Fang et al.

AgentSquare: Automatic LLM Agent Search in Modular Design Space

Yu Shang, Yu Li, Keyu Zhao et al.

Mechanistic Design and Scaling of Hybrid Architectures

Michael Poli, Armin Thomas, Eric Nguyen et al.

An Architecture Search Framework for Inference-Time Techniques

Jon Saad-Falcon, Adrian Lafuente, Shlok Natarajan et al.

Curriculum reinforcement learning for quantum architecture search under hardware errors

Yash J. Patel, Akash Kundu, Mateusz Ostaszewski et al.

Training-Free Quantum Architecture Search

Zhimin He, Maijie Deng, Shenggen Zheng et al.

AZ-NAS: Assembling Zero-Cost Proxies for Network Architecture Search

Junghyup Lee, Bumsub Ham

Auto-Prox: Training-Free Vision Transformer Architecture Search via Automatic Proxy Discovery

Zimian Wei, Peijie Dong, Zheng Hui et al.

Design Principle Transfer in Neural Architecture Search via Large Language Models

Xun Zhou, Xingyu Wu, Liang Feng et al.

DiffusionNAG: Predictor-guided Neural Architecture Generation with Diffusion Models

Sohyun An, Hayeon Lee, Jaehyeong Jo et al.

Efficient Automated Circuit Discovery in Transformers using Contextual Decomposition

Aliyah Hsu, Georgia Zhou, Yeshwanth Cherapanamjeri et al.

Joint Learning Neuronal Skeleton and Brain Circuit Topology with Permutation Invariant Encoders for Neuron Classification

Minghui Liao, Guojia Wan, Bo Du

Towards Accurate and Robust Architectures via Neural Architecture Search

Yuwei Ou, Yuqi Feng, Yanan Sun

Revisiting Multimodal Fusion for 3D Anomaly Detection from an Architectural Perspective

Kaifang Long, Guoyang Xie, Lianbo Ma et al.

FlowerFormer: Empowering Neural Architecture Encoding using a Flow-aware Graph Transformer

Dongyeong Hwang, Hyunju Kim, Sunwoo Kim et al.

Auto-DAS: Automated Proxy Discovery for Training-free Distillation-aware Architecture Search

Haosen SUN, Lujun Li, Peijie Dong et al.

STAR: Synthesis of Tailored Architectures

Armin Thomas, Rom Parnichkun, Alexander Amini et al.

Robustifying and Boosting Training-Free Neural Architecture Search

Zhenfeng He, Yao Shu, Zhongxiang Dai et al.

Neural Fine-Tuning Search for Few-Shot Learning

Panagiotis Eustratiadis, Łukasz Dudziak, Da Li et al.

Encodings for Prediction-based Neural Architecture Search

Yash Akhauri, Mohamed Abdelfattah

Boosting Order-Preserving and Transferability for Neural Architecture Search: a Joint Architecture Refined Search and Fine-tuning Approach

Beichen Zhang, Xiaoxing Wang, Xiaohan Qin et al.

RZ-NAS: Enhancing LLM-guided Neural Architecture Search via Reflective Zero-Cost Strategy

Zipeng Ji, Guanghui Zhu, Chunfeng Yuan et al.

Neural Genetic Search in Discrete Spaces

Hyeonah Kim, Sanghyeok Choi, Jiwoo Son et al.

Insights from the Use of Previously Unseen Neural Architecture Search Datasets

Rob Geada, David Towers, Matthew Forshaw et al.

SuperFedNAS: Cost-Efficient Federated Neural Architecture Search for On-Device Inference

Alind Khare, Animesh Agrawal, Aditya Annavajjala et al.

Scaling Combinatorial Optimization Neural Improvement Heuristics with Online Search and Adaptation

Federico Julian Camerota Verdù, Lorenzo Castelli, Luca Bortolussi

GSDiff: Synthesizing Vector Floorplans via Geometry-enhanced Structural Graph Generation

Sizhe Hu, Wenming Wu, Yuntao Wang et al.

Enhancing SQL Query Generation with Neurosymbolic Reasoning

Henrijs Princis, Cristina David, Alan Mycroft

Efficient Few-Shot Neural Architecture Search by Counting the Number of Nonlinear Functions

Youngmin Oh, Hyunju Lee, Bumsub Ham

OptiScene: LLM-driven Indoor Scene Layout Generation via Scaled Human-aligned Data Synthesis and Multi-Stage Preference Optimization

Yixuan Yang, Zhen Luo, Tongsheng Ding et al.

Building Optimal Neural Architectures using Interpretable Knowledge

Keith Mills, Fred Han, Mohammad Salameh et al.

Subnet-Aware Dynamic Supernet Training for Neural Architecture Search

Jeimin Jeon, Youngmin Oh, Junghyup Lee et al.

NADER: Neural Architecture Design via Multi-Agent Collaboration

Zekang Yang, Wang ZENG, Sheng Jin et al.

ArcPro: Architectural Programs for Structured 3D Abstraction of Sparse Points

Qirui Huang, Runze Zhang, Kangjun Liu et al.

Charting the Design Space of Neural Graph Representations for Subgraph Matching

Vaibhav Raj, Indradyumna Roy, Ashwin Ramachandran et al.

Principled Architecture-aware Scaling of Hyperparameters

Wuyang Chen, Junru Wu, Zhangyang Wang et al.

Neural Assembler: Learning to Generate Fine-Grained Robotic Assembly Instructions from Multi-View Images

Hongyu Yan, Yadong Mu

Language Modeling by Language Models

Junyan Cheng, Peter Clark, Kyle Richardson

Integrated Hardware Architecture and Device Placement Search

Irene Wang, Jakub Tarnawski, Amar Phanishayee et al.

L-SWAG: Layer-Sample Wise Activation with Gradients Information for Zero-Shot NAS on Vision Transformers

Sofia Casarin, Sergio Escalera, Oswald Lanz

Masked Distillation Advances Self-Supervised Transformer Architecture Search

Caixia Yan, Xiaojun Chang, Zhihui Li et al.

MO-EMT-NAS: Multi-Objective Continuous Transfer of Architectural Knowledge Between Tasks from Different Datasets

Peng Liao, Xilu Wang, Yaochu Jin et al.

AutoGFM: Automated Graph Foundation Model with Adaptive Architecture Customization

Haibo Chen, Xin Wang, Zeyang Zhang et al.

NN-Former: Rethinking Graph Structure in Neural Architecture Representation

Ruihan Xu, Haokui Zhang, Yaowei Wang et al.

Multi-objective Differentiable Neural Architecture Search

Rhea Sukthanker, Arber Zela, Benedikt Staffler et al.

Dependency-aware Differentiable Neural Architecture Search

Buang Zhang, Xinle Wu, Hao Miao et al.

Real-time design of architectural structures with differentiable mechanics and neural networks

Rafael Pastrana, Eder Medina, Isabel M. de Oliveira et al.

TRNAS: A Training-Free Robust Neural Architecture Search

Yeming Yang, Qingling Zhu, Jianping Luo et al.

TF-MAS: Training-free Mamba2 Architecture Search

Yi Fan, Yu-Bin Yang

Revolutionizing Training-Free NAS: Towards Efficient Automatic Proxy Discovery via Large Language Models

Haidong Kang, Lihong Lin, Hanling Wang

Towards Automated RISC-V Microarchitecture Design with Reinforcement Learning

Chen BAI, Jianwang Zhai, Yuzhe Ma et al.

Neural Architecture Search Driven by Locally Guided Diffusion for Personalized Federated Learning

PENG LIAO, Xilu Wang, Yaochu Jin et al.

Learning to Flow from Generative Pretext Tasks for Neural Architecture Encoding

Sunwoo Kim, Hyunjin Hwang, Kijung Shin

GliaNet: Adaptive Neural Network Structure Learning with Glia-Driven

Mengqiao Han, Liyuan Pan, Xiabi Liu

Learning to Plan Like the Human Brain via Visuospatial Perception and Semantic-Episodic Synergistic Decision-Making

Tianyuan Jia, Ziyu Li, Qing Li et al.

Learning to Search from Demonstration Sequences

Dixant Mittal, Liwei Kang, Wee Sun Lee

PerFedRLNAS: One-for-All Personalized Federated Neural Architecture Search

Dixi Yao, Baochun Li

ArchLock: Locking DNN Transferability at the Architecture Level with a Zero-Cost Binary Predictor

Tong Zhou, Shaolei Ren, Xiaolin Xu

Training-free Neural Architecture Search through Variance of Knowledge of Deep Network Weights

Ondrej Tybl, Lukas Neumann

CARL: Causality-guided Architecture Representation Learning for an Interpretable Performance Predictor

Han Ji, Yuqi Feng, Jiahao Fan et al.

When No Paths Lead to Rome: Benchmarking Systematic Neural Relational Reasoning

Anirban Das, Muhammad Irtaza Khalid, Rafael Peñaloza et al.

Optimize Any Topology: A Foundation Model for Shape- and Resolution-Free Structural Topology Optimization

Amin Heyrani Nobari, Lyle Regenwetter, Cyril Picard et al.

Multimodal Graph Neural Architecture Search under Distribution Shifts

Jie Cai, Xin Wang, Haoyang Li et al.

Per-Architecture Training-Free Metric Optimization for Neural Architecture Search

Mingzhuo Lin, Jianping Luo

Towards Neural Architecture Search through Hierarchical Generative Modeling

Lichuan Xiang, Łukasz Dudziak, Mohamed Abdelfattah et al.

Revisiting Neural Networks for Few-Shot Learning: A Zero-Cost NAS Perspective

Haidong Kang

Neural Conjugate Flows: A Physics-Informed Architecture with Flow Structure

Arthur Bizzi, Lucas Nissenbaum, João M. Pereira

EG-NAS: Neural Architecture Search with Fast Evolutionary Exploration

Neural Architecture Retrieval

Xiaohuan Pei, Yanxi Li, Minjing Dong et al.

Disentangled Continual Graph Neural Architecture Search with Invariant Modular Supernet

Zeyang Zhang, Xin Wang, Yijian Qin et al.

Prior Knowledge Guided Neural Architecture Generation

Jingrong Xie, Han Ji, Yanan Sun

Optimal Transport for Brain-Image Alignment: Unveiling Redundancy and Synergy in Neural Information Processing

Yang Xiao, Wang Lu, Jie Ji et al.

Searching Efficient Semantic Segmentation Architectures via Dynamic Path Selection

Yuxi Liu, Min Liu, Shuai Jiang et al.

Data-Augmented Curriculum Graph Neural Architecture Search under Distribution Shifts

Yang Yao, Xin Wang, Yijian Qin et al.

MorphoGen: Efficient Unconditional Generation of Long-Range Projection Neuronal Morphology via a Global-to-Local Framework

Tianfang Zhu, Hongyang Zhou, Anan LI

DeepLayout: Learning Neural Representations of Circuit Placement Layout

Yuxiang Zhao, zhuomin chai, Xun Jiang et al.

HEP-NAS: Towards Efficient Few-shot Neural Architecture Search via Hierarchical Edge Partitioning

Jianfeng Li, Jiawen Zhang, Feng Wang et al.

Hypergraph Neural Architecture Search

Wei Lin, Xu Peng, Zhengtao Yu et al.

Pretrained Hybrids with MAD Skills

Nicholas Roberts, Samuel Guo, Zhiqi Gao et al.