{"total":136,"rows":[{"id":"2301.08727","title":"Neural Architecture Search: Insights from 1000 Papers","created":"2023-01-20","cited_by_count":139,"area":null},{"id":"2303.00566","title":"Structured Pruning for Deep Convolutional Neural Networks: A survey","created":"2023-03-01","cited_by_count":122,"area":null},{"id":"2404.14387","title":"A Survey on Self-Evolution of Large Language Models","created":"2024-04-22","cited_by_count":91,"area":null},{"id":"2401.10034","title":"Evolutionary Computation in the Era of Large Language Model: Survey and Roadmap","created":"2024-01-18","cited_by_count":90,"area":null},{"id":"2306.01102","title":"LLMatic: Neural Architecture Search via Large Language Models and Quality Diversity Optimization","created":"2023-06-01","cited_by_count":87,"area":null},{"id":"2402.09748","title":"Model Compression and Efficient Inference for Large Language Models: A Survey","created":"2024-02-15","cited_by_count":64,"area":null},{"id":"2409.15254","title":"Archon: An Architecture Search Framework for Inference-Time Techniques","created":"2024-09-23","cited_by_count":60,"area":null},{"id":"2108.02497","title":"How to avoid machine learning pitfalls: a guide for academic researchers","created":"2021-08-05","cited_by_count":35,"area":null},{"id":"2309.11932","title":"A Machine Learning-oriented Survey on Tiny Machine Learning","created":"2023-09-21","cited_by_count":27,"area":null},{"id":"2410.11988","title":"DISP-LLM: Dimension-Independent Structural Pruning for Large Language Models","created":"2024-10-15","cited_by_count":24,"area":null},{"id":"2307.01998","title":"Zero-Shot Neural Architecture Search: Challenges, Solutions, and Opportunities","created":"2023-07-05","cited_by_count":21,"area":null},{"id":"2502.07780","title":"DarwinLM: Evolutionary Structured Pruning of Large Language Models","created":"2025-02-11","cited_by_count":18,"area":null},{"id":"2207.13955","title":"Neural Architecture Search on Efficient Transformers and Beyond","created":"2022-07-28","cited_by_count":17,"area":null},{"id":"2402.15490","title":"A Comprehensive Survey of Convolutions in Deep Learning: Applications, Challenges, and Future Trends","created":"2024-02-23","cited_by_count":16,"area":null},{"id":"2104.04987","title":"AutoGL: A Library for Automated Graph Learning","created":"2021-04-11","cited_by_count":15,"area":null},{"id":"2303.01311","title":"Zero-Shot Text-to-Parameter Translation for Game Character Auto-Creation","created":"2023-03-02","cited_by_count":15,"area":null},{"id":"2112.13939","title":"SPIDER: Searching Personalized Neural Architecture for Federated Learning","created":"2021-12-27","cited_by_count":13,"area":null},{"id":"2109.13101","title":"Half a Dozen Real-World Applications of Evolutionary Multitasking, and More","created":"2021-09-27","cited_by_count":12,"area":null},{"id":"2206.01520","title":"A Survey on Computationally Efficient Neural Architecture Search","created":"2022-06-03","cited_by_count":12,"area":null},{"id":"2501.06572","title":"Evolutionary Optimization of Physics-Informed Neural Networks: Evo-PINN Frontiers and Opportunities","created":"2025-01-11","cited_by_count":11,"area":null},{"id":"2509.08269","title":"A Systematic Survey on Large Language Models for Evolutionary Optimization: From Modeling to Solving","created":"2025-09-10","cited_by_count":11,"area":null},{"id":"2108.04541","title":"Accelerating Evolutionary Neural Architecture Search via Multi-Fidelity Evaluation","created":"2021-08-10","cited_by_count":10,"area":null},{"id":"2207.05135","title":"FreeREA: Training-Free Evolution-based Architecture Search","created":"2022-06-17","cited_by_count":10,"area":null},{"id":"2201.01288","title":"Automated Graph Machine Learning: Approaches, Libraries, Benchmarks and Directions","created":"2022-01-04","cited_by_count":9,"area":null},{"id":"2209.06399","title":"A Survey on Evolutionary Computation for Computer Vision and Image Analysis: Past, Present, and Future Trends","created":"2022-09-14","cited_by_count":9,"area":null},{"id":"2401.13330","title":"NACHOS: Neural Architecture Search for Hardware Constrained Early Exit Neural Networks","created":"2024-01-24","cited_by_count":9,"area":null},{"id":"2402.06696","title":"FL-NAS: Towards Fairness of NAS for Resource Constrained Devices via Large Language Models","created":"2024-02-09","cited_by_count":9,"area":null},{"id":"2309.06612","title":"Harmonic-NAS: Hardware-Aware Multimodal Neural Architecture Search on Resource-constrained Devices","created":"2023-09-12","cited_by_count":8,"area":null},{"id":"2311.08364","title":"Plum: Prompt Learning using Metaheuristic","created":"2023-11-14","cited_by_count":8,"area":null},{"id":"2106.07714","title":"Learning Deep Morphological Networks with Neural Architecture Search","created":"2021-06-14","cited_by_count":6,"area":null},{"id":"2308.09915","title":"EGANS: Evolutionary Generative Adversarial Network Search for Zero-Shot Learning","created":"2023-08-19","cited_by_count":6,"area":null},{"id":"2311.18061","title":"TransNAS-TSAD: Harnessing Transformers for Multi-Objective Neural Architecture Search in Time Series Anomaly Detection","created":"2023-11-29","cited_by_count":6,"area":null},{"id":"2103.12529","title":"Enhanced Gradient for Differentiable Architecture Search","created":"2021-03-23","cited_by_count":5,"area":null},{"id":"2210.02959","title":"POPNASv2: An Efficient Multi-Objective Neural Architecture Search Technique","created":"2022-10-06","cited_by_count":5,"area":null},{"id":"2403.08901","title":"A Framework for Strategic Discovery of Credible Neural Network Surrogate Models under Uncertainty","created":"2024-03-13","cited_by_count":5,"area":null},{"id":"2403.13293","title":"Building Optimal Neural Architectures using Interpretable Knowledge","created":"2024-03-20","cited_by_count":5,"area":null},{"id":"2104.04000","title":"Software/Hardware Co-design for Multi-modal Multi-task Learning in Autonomous Systems","created":"2021-04-08","cited_by_count":4,"area":null},{"id":"2107.08484","title":"A Novel Evolutionary Algorithm for Hierarchical Neural Architecture Search","created":"2021-07-18","cited_by_count":4,"area":null},{"id":"2203.05508","title":"Towards Less Constrained Macro-Neural Architecture Search","created":"2022-03-10","cited_by_count":4,"area":null},{"id":"2206.05625","title":"Exploring the Intersection between Neural Architecture Search and Continual Learning","created":"2022-06-11","cited_by_count":4,"area":null},{"id":"2208.13246","title":"AutoQML: Automatic Generation and Training of Robust Quantum-Inspired Classifiers by Using Genetic Algorithms on Grayscale Images","created":"2022-08-28","cited_by_count":4,"area":null},{"id":"2209.13233","title":"Genetic Programming-Based Evolutionary Deep Learning for Data-Efficient Image Classification","created":"2022-09-27","cited_by_count":4,"area":null},{"id":"2210.07634","title":"Pareto-aware Neural Architecture Generation for Diverse Computational Budgets","created":"2022-10-14","cited_by_count":4,"area":null},{"id":"2302.08571","title":"A Comprehensive Review and a Taxonomy of Edge Machine Learning: Requirements, Paradigms, and Techniques","created":"2023-02-16","cited_by_count":4,"area":null},{"id":"2309.06047","title":"Real-Time Semantic Segmentation: A Brief Survey & Comparative Study in Remote Sensing","created":"2023-09-12","cited_by_count":4,"area":null},{"id":"2404.14704","title":"Unsupervised Domain Adaptation Architecture Search with Self-Training for Land Cover Mapping","created":"2024-04-23","cited_by_count":4,"area":null},{"id":"2405.19779","title":"Automatic Graph Topology-Aware Transformer","created":"2024-05-30","cited_by_count":4,"area":null},{"id":"2409.14433","title":"OStr-DARTS: Differentiable Neural Architecture Search based on Operation Strength","created":"2024-09-22","cited_by_count":4,"area":null},{"id":"2411.10507","title":"RedTest: Towards Measuring Redundancy in Deep Neural Networks Effectively","created":"2024-11-15","cited_by_count":4,"area":null},{"id":"2412.00348","title":"Vision Technologies with Applications in Traffic Surveillance Systems: A Holistic Survey","created":"2024-11-30","cited_by_count":4,"area":null},{"id":"2503.09657","title":"T\\'yr-the-Pruner: Structural Pruning LLMs via Global Sparsity Distribution Optimization","created":"2025-03-12","cited_by_count":4,"area":null},{"id":"2512.04770","title":"Embodied Co-Design for Rapidly Evolving Agents: Taxonomy, Frontiers, and Challenges","created":"2025-12-04","cited_by_count":4,"area":null},{"id":"2604.07013","title":"QNAS: A Neural Architecture Search Framework for Accurate and Efficient Quantum Neural Networks","created":"2026-04-08","cited_by_count":4,"area":null},{"id":"2106.04010","title":"FEAR: A Simple Lightweight Method to Rank Architectures","created":"2021-06-07","cited_by_count":3,"area":null},{"id":"2206.13962","title":"Multi-Prior Learning via Neural Architecture Search for Blind Face Restoration","created":"2022-06-28","cited_by_count":3,"area":null},{"id":"2302.02565","title":"Bi-level Multi-objective Evolutionary Learning: A Case Study on Multi-task Graph Neural Topology Search","created":"2023-02-06","cited_by_count":3,"area":null},{"id":"2304.10749","title":"Multi-scale Evolutionary Neural Architecture Search for Deep Spiking Neural Networks","created":"2023-04-21","cited_by_count":3,"area":null},{"id":"2304.11517","title":"LayerNAS: Neural Architecture Search in Polynomial Complexity","created":"2023-04-23","cited_by_count":3,"area":null},{"id":"2403.18923","title":"Evolution-based Feature Selection for Predicting Dissolved Oxygen Concentrations in Lakes","created":"2024-02-15","cited_by_count":3,"area":null},{"id":"2411.17339","title":"Knowledge-aware Evolutionary Graph Neural Architecture Search","created":"2024-11-26","cited_by_count":3,"area":null},{"id":"2505.12523","title":"Energy-Aware Deep Learning on Resource-Constrained Hardware","created":"2025-05-18","cited_by_count":3,"area":null},{"id":"2110.13629","title":"Bayesian Optimization and Deep Learning forsteering wheel angle prediction","created":"2021-10-22","cited_by_count":2,"area":null},{"id":"2111.04497","title":"An Approach for Combining Multimodal Fusion and Neural Architecture Search Applied to Knowledge Tracing","created":"2021-11-08","cited_by_count":2,"area":null},{"id":"2203.10435","title":"Vision Transformer with Convolutions Architecture Search","created":"2022-03-20","cited_by_count":2,"area":null},{"id":"2205.00167","title":"Self-Programming Artificial Intelligence Using Code-Generating Language Models","created":"2022-04-30","cited_by_count":2,"area":null},{"id":"2207.06968","title":"DASS: Differentiable Architecture Search for Sparse neural networks","created":"2022-07-14","cited_by_count":2,"area":null},{"id":"2208.06475","title":"Guided Evolutionary Neural Architecture Search With Efficient Performance Estimation","created":"2022-07-22","cited_by_count":2,"area":null},{"id":"2209.07475","title":"Neural Networks Reduction via Lumping","created":"2022-09-15","cited_by_count":2,"area":null},{"id":"2210.14016","title":"Shortest Edit Path Crossover: A Theory-driven Solution to the Permutation Problem in Evolutionary Neural Architecture Search","created":"2022-10-25","cited_by_count":2,"area":null},{"id":"2211.05950","title":"CR-LSO: Convex Neural Architecture Optimization in the Latent Space of Graph Variational Autoencoder with Input Convex Neural Networks","created":"2022-11-11","cited_by_count":2,"area":null},{"id":"2211.06860","title":"An Adaptive and Stability-Promoting Layerwise Training Approach for Sparse Deep Neural Network Architecture","created":"2022-11-13","cited_by_count":2,"area":null},{"id":"2305.07308","title":"Efficient Search of Comprehensively Robust Neural Architectures via Multi-fidelity Evaluation","created":"2023-05-12","cited_by_count":2,"area":null},{"id":"2307.04429","title":"Designing Novel Cognitive Diagnosis Models via Evolutionary Multi-Objective Neural Architecture Search","created":"2023-07-10","cited_by_count":2,"area":null},{"id":"2310.04179","title":"Entropic Score metric: Decoupling Topology and Size in Training-free NAS","created":"2023-10-06","cited_by_count":2,"area":null},{"id":"2312.10560","title":"Optimizing Dense Feed-Forward Neural Networks","created":"2023-12-16","cited_by_count":2,"area":null},{"id":"2403.11173","title":"Multi-Objective Evolutionary Neural Architecture Search for Recurrent Neural Networks","created":"2024-03-17","cited_by_count":2,"area":null},{"id":"2405.06910","title":"Generative flow induced neural architecture search: Towards discovering optimal architecture in wavelet neural operator","created":"2024-05-11","cited_by_count":2,"area":null},{"id":"2407.10359","title":"Evolved Developmental Artificial Neural Networks for Multitasking with Advanced Activity Dependence","created":"2024-07-14","cited_by_count":2,"area":null},{"id":"2502.06885","title":"Topological derivative approach for deep neural network architecture adaptation","created":"2025-02-08","cited_by_count":2,"area":null},{"id":"2512.16406","title":"Hypernetworks That Evolve Themselves","created":"2025-12-18","cited_by_count":2,"area":null},{"id":"2606.29582","title":"Bilevel Optimization for Neural Architecture Search","created":"2026-06-28","cited_by_count":2,"area":null},{"id":"2208.10498","title":"Design Automation for Fast, Lightweight, and Effective Deep Learning Models: A Survey","created":"2022-08-22","cited_by_count":1,"area":null},{"id":"2212.12132","title":"DAS: Neural Architecture Search via Distinguishing Activation Score","created":"2022-12-23","cited_by_count":1,"area":null},{"id":"2302.04406","title":"Neural Architecture Search: Two Constant Shared Weights Initialisations","created":"2023-02-09","cited_by_count":1,"area":null},{"id":"2303.08874","title":"Bayesian Quadrature for Neural Ensemble Search","created":"2023-03-15","cited_by_count":1,"area":null},{"id":"2304.02497","title":"Hyper-parameter Tuning for Adversarially Robust Models","created":"2023-04-05","cited_by_count":1,"area":null},{"id":"2304.07741","title":"Canvas: End-to-End Kernel Architecture Search in Neural Networks","created":"2023-04-16","cited_by_count":1,"area":null},{"id":"2309.05263","title":"Brain-inspired Evolutionary Architectures for Spiking Neural Networks","created":"2023-09-11","cited_by_count":1,"area":null},{"id":"2310.08748","title":"Evolutionary Dynamic Optimization and Machine Learning","created":"2023-10-12","cited_by_count":1,"area":null},{"id":"2402.13204","title":"SONATA: Self-adaptive Evolutionary Framework for Hardware-aware Neural Architecture Search","created":"2024-02-20","cited_by_count":1,"area":null},{"id":"2404.09788","title":"Shape Arithmetic Expressions: Advancing Scientific Discovery Beyond Closed-Form Equations","created":"2024-04-15","cited_by_count":1,"area":null},{"id":"2406.01869","title":"Fruit Classification System with Deep Learning and Neural Architecture Search","created":"2024-06-04","cited_by_count":1,"area":null},{"id":"2407.08745","title":"Evolutionary Computation for the Design and Enrichment of General-Purpose Artificial Intelligence Systems: Survey and Prospects","created":"2024-06-03","cited_by_count":1,"area":null},{"id":"2410.08339","title":"Simultaneous Weight and Architecture Optimization for Neural Networks","created":"2024-10-10","cited_by_count":1,"area":null},{"id":"2410.12841","title":"UniAutoML: A Human-Centered Framework for Unified Discriminative and Generative AutoML with Large Language Models","created":"2024-10-09","cited_by_count":1,"area":null},{"id":"2410.19496","title":"A neural network approach for solving the Monge-Amp\\`ere equation with transport boundary condition","created":"2024-10-25","cited_by_count":1,"area":null},{"id":"2412.00724","title":"AdaScale: Dynamic Context-aware DNN Scaling via Automated Adaptation Loop on Mobile Devices","created":"2024-12-01","cited_by_count":1,"area":null},{"id":"2501.17411","title":"A Genetic Algorithm-Based Approach for Automated Optimization of Kolmogorov-Arnold Networks in Classification Tasks","created":"2025-01-29","cited_by_count":1,"area":null},{"id":"2504.02167","title":"HQCC: A Hybrid Quantum-Classical Classifier with Adaptive Structure","created":"2025-04-02","cited_by_count":1,"area":null},{"id":"2504.21254","title":"ABG-NAS: Adaptive Bayesian Genetic Neural Architecture Search for Graph Representation Learning","created":"2025-04-30","cited_by_count":1,"area":null}],"next_cursor":"100"}