{"total":71,"rows":[{"id":"2211.14830","title":"Medical Image Segmentation Review: The success of U-Net","created":"2022-11-27","cited_by_count":191,"area":null},{"id":"2301.08727","title":"Neural Architecture Search: Insights from 1000 Papers","created":"2023-01-20","cited_by_count":139,"area":null},{"id":"2301.07014","title":"Dataset Distillation: A Comprehensive Review","created":"2023-01-17","cited_by_count":127,"area":null},{"id":"2104.01177","title":"How Powerful are Performance Predictors in Neural Architecture Search?","created":"2021-04-02","cited_by_count":90,"area":null},{"id":"2301.00265","title":"Source-Free Unsupervised Domain Adaptation: A Survey","created":"2022-12-31","cited_by_count":80,"area":null},{"id":"2101.09336","title":"A Comprehensive Survey on Hardware-Aware Neural Architecture Search","created":"2021-01-22","cited_by_count":61,"area":null},{"id":"2210.03230","title":"NAS-Bench-Suite-Zero: Accelerating Research on Zero Cost Proxies","created":"2022-10-06","cited_by_count":36,"area":null},{"id":"2306.08107","title":"AutoML in the Age of Large Language Models: Current Challenges, Future Opportunities and Risks","created":"2023-06-13","cited_by_count":35,"area":null},{"id":"2204.11786","title":"Enable Deep Learning on Mobile Devices: Methods, Systems, and Applications","created":"2022-04-25","cited_by_count":32,"area":null},{"id":"2305.07348","title":"A Survey on Deep Learning-Based Monocular Spacecraft Pose Estimation: Current State, Limitations and Prospects","created":"2023-05-12","cited_by_count":30,"area":null},{"id":"2102.08099","title":"EPE-NAS: Efficient Performance Estimation Without Training for Neural Architecture Search","created":"2021-02-16","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":"2105.01015","title":"Bag of Baselines for Multi-objective Joint Neural Architecture Search and Hyperparameter Optimization","created":"2021-05-03","cited_by_count":19,"area":null},{"id":"2203.02094","title":"LiteTransformerSearch: Training-free Neural Architecture Search for Efficient Language Models","created":"2022-03-04","cited_by_count":14,"area":null},{"id":"2112.09245","title":"Automated Deep Learning: Neural Architecture Search Is Not the End","created":"2021-12-16","cited_by_count":13,"area":null},{"id":"2102.02802","title":"Federated mmWave Beam Selection Utilizing LIDAR Data","created":"2021-02-04","cited_by_count":12,"area":null},{"id":"2202.07242","title":"Neural Architecture Search for Dense Prediction Tasks in Computer Vision","created":"2022-02-15","cited_by_count":12,"area":null},{"id":"2108.00568","title":"FLASH: Fast Neural Architecture Search with Hardware Optimization","created":"2021-08-01","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":"2112.07459","title":"Scale-Aware Neural Architecture Search for Multivariate Time Series Forecasting","created":"2021-12-14","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":"2102.06599","title":"Neural Architecture Search as Program Transformation Exploration","created":"2021-02-12","cited_by_count":8,"area":null},{"id":"2105.10626","title":"Searching Collaborative Agents for Multi-plane Localization in 3D Ultrasound","created":"2021-05-22","cited_by_count":7,"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":"2109.08958","title":"AutoInit: Analytic Signal-Preserving Weight Initialization for Neural Networks","created":"2021-09-18","cited_by_count":5,"area":null},{"id":"2301.05785","title":"Efficient Activation Function Optimization through Surrogate Modeling","created":"2023-01-13","cited_by_count":5,"area":null},{"id":"2402.19102","title":"FlatNAS: optimizing Flatness in Neural Architecture Search for Out-of-Distribution Robustness","created":"2024-02-29","cited_by_count":5,"area":null},{"id":"2104.07393","title":"Training Deep Capsule Networks with Residual Connections","created":"2021-04-15","cited_by_count":4,"area":null},{"id":"2107.03719","title":"Bag of Tricks for Neural Architecture Search","created":"2021-07-08","cited_by_count":4,"area":null},{"id":"2110.06830","title":"CONetV2: Efficient Auto-Channel Size Optimization for CNNs","created":"2021-10-13","cited_by_count":4,"area":"distill"},{"id":"2204.01390","title":"A Comprehensive Survey on Automated Machine Learning for Recommendations","created":"2022-04-04","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":"2308.15609","title":"InstaTune: Instantaneous Neural Architecture Search During Fine-Tuning","created":"2023-08-29","cited_by_count":4,"area":null},{"id":"2311.07870","title":"AutoML for Large Capacity Modeling of Meta's Ranking Systems","created":"2023-11-14","cited_by_count":4,"area":null},{"id":"2504.11301","title":"Learning to Be A Doctor: Searching for Effective Medical Agent Architectures","created":"2025-04-15","cited_by_count":4,"area":"agents"},{"id":"2110.15232","title":"Guided Evolution for Neural Architecture Search","created":"2021-10-28","cited_by_count":3,"area":null},{"id":"2305.07135","title":"Divide-and-Conquer the NAS puzzle in Resource Constrained Federated Learning Systems","created":"2023-05-11","cited_by_count":3,"area":null},{"id":"2107.12917","title":"Experiments on Properties of Hidden Structures of Sparse Neural Networks","created":"2021-07-27","cited_by_count":2,"area":null},{"id":"2109.01461","title":"Dive into Layers: Neural Network Capacity Bounding using Algebraic Geometry","created":"2021-09-03","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":"2306.06858","title":"Robustifying DARTS by Eliminating Information Bypass Leakage via Explicit Sparse Regularization","created":"2023-06-12","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":"2405.06038","title":"From Algorithm to Hardware: A Survey on Efficient and Safe Deployment of Deep Neural Networks","created":"2024-05-09","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":"2502.07422","title":"MoENAS: Mixture-of-Expert based Neural Architecture Search for jointly Accurate, Fair, and Robust Edge Deep Neural Networks","created":"2025-02-11","cited_by_count":2,"area":"moe"},{"id":"2507.20592","title":"PhaseNAS: Language-Model Driven Architecture Search with Dynamic Phase Adaptation","created":"2025-07-28","cited_by_count":2,"area":null},{"id":"2205.09875","title":"Incremental Learning with Differentiable Architecture and Forgetting Search","created":"2022-05-19","cited_by_count":1,"area":null},{"id":"2403.16215","title":"Systematic construction of continuous-time neural networks for linear dynamical systems","created":"2024-03-24","cited_by_count":1,"area":null},{"id":"2409.04915","title":"Activation Function Optimization Scheme for Image Classification","created":"2024-09-07","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":"2410.08950","title":"On the Adversarial Transferability of Generalized \"Skip Connections\"","created":"2024-10-11","cited_by_count":1,"area":null},{"id":"2505.10457","title":"SEAL: Searching Expandable Architectures for Incremental Learning","created":"2025-05-15","cited_by_count":1,"area":null},{"id":"2105.14625","title":"Surrogate Model Based Hyperparameter Tuning for Deep Learning with SPOT","created":"2021-05-30","cited_by_count":0,"area":null},{"id":"2106.14406","title":"Poisoning the Search Space in Neural Architecture Search","created":"2021-06-28","cited_by_count":0,"area":null},{"id":"2108.02231","title":"Growing an architecture for a neural network","created":"2021-08-04","cited_by_count":0,"area":null},{"id":"2109.02532","title":"Automated Robustness with Adversarial Training as a Post-Processing Step","created":"2021-09-06","cited_by_count":0,"area":null},{"id":"2109.08028","title":"Neural Architecture Search in operational context: a remote sensing case-study","created":"2021-09-15","cited_by_count":0,"area":null},{"id":"2111.06679","title":"deepstruct -- linking deep learning and graph theory","created":"2021-11-12","cited_by_count":0,"area":null},{"id":"2201.11091","title":"Momentum Capsule Networks","created":"2022-01-26","cited_by_count":0,"area":null},{"id":"2206.07280","title":"ERNAS: An Evolutionary Neural Architecture Search for Magnetic Resonance Image Reconstructions","created":"2022-06-15","cited_by_count":0,"area":null},{"id":"2304.03374","title":"Optimizing Neural Networks through Activation Function Discovery and Automatic Weight Initialization","created":"2023-04-06","cited_by_count":0,"area":null},{"id":"2304.05838","title":"DartsReNet: Exploring new RNN cells in ReNet architectures","created":"2023-04-11","cited_by_count":0,"area":null},{"id":"2305.09738","title":"CQural: A Novel CNN based Hybrid Architecture for Quantum Continual Machine Learning","created":"2023-05-16","cited_by_count":0,"area":null},{"id":"2307.09099","title":"A Survey on Multi-Objective Neural Architecture Search","created":"2023-07-18","cited_by_count":0,"area":null},{"id":"2402.18595","title":"EncodingNet: A Novel Encoding-based MAC Design for Efficient Neural Network Acceleration","created":"2024-02-25","cited_by_count":0,"area":null},{"id":"2405.03435","title":"A method for quantifying the generalization capabilities of generative models for solving Ising models","created":"2024-05-06","cited_by_count":0,"area":null},{"id":"2412.04836","title":"Adaptive Dropout for Pruning Conformers","created":"2024-12-06","cited_by_count":0,"area":null},{"id":"2510.01840","title":"A reproducible comparative study of categorical kernels for Gaussian process regression, with new clustering-based nested kernels","created":"2025-10-02","cited_by_count":0,"area":null},{"id":"2512.04097","title":"MultiGA: Leveraging Multi-Source Seeding in Genetic Algorithms","created":"2025-11-21","cited_by_count":0,"area":null},{"id":"2605.04103","title":"HERCULES: Hardware-Efficient, Robust, Continual Learning Neural Architecture Search","created":"2026-05-03","cited_by_count":0,"area":null},{"id":"2607.01387","title":"Bi-NAS: Towards Effective and Personalized Explanation for Recommender Systems via Bi-Level Neural Architecture Search","created":"2026-07-01","cited_by_count":0,"area":null}],"next_cursor":null}