{"total":59,"rows":[{"id":"2301.08727","title":"Neural Architecture Search: Insights from 1000 Papers","created":"2023-01-20","cited_by_count":139,"area":null},{"id":"2502.08773","title":"Universal Model Routing for Efficient LLM Inference","created":"2025-02-12","cited_by_count":86,"area":"inference"},{"id":"2103.12424","title":"BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search","created":"2021-03-23","cited_by_count":63,"area":null},{"id":"2101.11834","title":"Neural Architecture Search with Random Labels","created":"2021-01-28","cited_by_count":33,"area":null},{"id":"2102.10490","title":"Stronger NAS with Weaker Predictors","created":"2021-02-21","cited_by_count":28,"area":null},{"id":"2102.07108","title":"CATE: Computation-aware Neural Architecture Encoding with Transformers","created":"2021-02-14","cited_by_count":21,"area":null},{"id":"2111.03602","title":"NAS-Bench-x11 and the Power of Learning Curves","created":"2021-11-05","cited_by_count":20,"area":null},{"id":"2203.10304","title":"PACE: A Parallelizable Computation Encoder for Directed Acyclic Graphs","created":"2022-03-19","cited_by_count":20,"area":null},{"id":"2203.08887","title":"On Redundancy and Diversity in Cell-based Neural Architecture Search","created":"2022-03-16","cited_by_count":18,"area":null},{"id":"2203.08734","title":"Learning Where To Look -- Generative NAS is Surprisingly Efficient","created":"2022-03-16","cited_by_count":15,"area":null},{"id":"2108.09671","title":"Pi-NAS: Improving Neural Architecture Search by Reducing Supernet Training Consistency Shift","created":"2021-08-22","cited_by_count":14,"area":null},{"id":"2403.06020","title":"Multi-conditioned Graph Diffusion for Neural Architecture Search","created":"2024-03-09","cited_by_count":14,"area":null},{"id":"2409.12255","title":"Efficient Data Subset Selection to Generalize Training Across Models: Transductive and Inductive Networks","created":"2024-09-18","cited_by_count":13,"area":null},{"id":"2509.26476","title":"Regression Language Models for Code","created":"2025-09-30","cited_by_count":11,"area":null},{"id":"2103.13253","title":"Learning Versatile Neural Architectures by Propagating Network Codes","created":"2021-03-24","cited_by_count":9,"area":null},{"id":"2108.08019","title":"RANK-NOSH: Efficient Predictor-Based Architecture Search via Non-Uniform Successive Halving","created":"2021-08-18","cited_by_count":9,"area":null},{"id":"2403.02484","title":"Encodings for Prediction-based Neural Architecture Search","created":"2024-03-04","cited_by_count":9,"area":null},{"id":"2103.01495","title":"Task-Adaptive Neural Network Search with Meta-Contrastive Learning","created":"2021-03-02","cited_by_count":8,"area":null},{"id":"2403.02446","title":"On Latency Predictors for Neural Architecture Search","created":"2024-03-04","cited_by_count":7,"area":null},{"id":"2109.12425","title":"L$^{2}$NAS: Learning to Optimize Neural Architectures via Continuous-Action Reinforcement Learning","created":"2021-09-25","cited_by_count":6,"area":null},{"id":"2105.04885","title":"Graph-based Neural Architecture Search with Operation Embeddings","created":"2021-05-11","cited_by_count":5,"area":null},{"id":"2209.09245","title":"Interpreting the Mechanism of Synergism for Drug Combinations Using Attention-Based Hierarchical Graph Pooling","created":"2022-09-19","cited_by_count":5,"area":null},{"id":"2402.02105","title":"ParZC: Parametric Zero-Cost Proxies for Efficient NAS","created":"2024-02-03","cited_by_count":5,"area":null},{"id":"2403.05064","title":"Unsupervised Graph Neural Architecture Search with Disentangled Self-supervision","created":"2024-03-08","cited_by_count":5,"area":null},{"id":"2406.02056","title":"CAP: A Context-Aware Neural Predictor for NAS","created":"2024-06-04","cited_by_count":5,"area":null},{"id":"2412.15554","title":"Architecture-Aware Learning Curve Extrapolation via Graph Ordinary Differential Equation","created":"2024-12-20","cited_by_count":5,"area":null},{"id":"2504.12971","title":"Transferrable Surrogates in Expressive Neural Architecture Search Spaces","created":"2025-04-17","cited_by_count":5,"area":null},{"id":"2106.11914","title":"MONCAE: Multi-Objective Neuroevolution of Convolutional Autoencoders","created":"2021-06-07","cited_by_count":4,"area":null},{"id":"2208.08056","title":"Sampling Through the Lens of Sequential Decision Making","created":"2022-08-17","cited_by_count":4,"area":null},{"id":"2401.11576","title":"Quantum Architecture Search with Unsupervised Representation Learning","created":"2024-01-21","cited_by_count":4,"area":null},{"id":"2403.01326","title":"DNA Family: Boosting Weight-Sharing NAS with Block-Wise Supervisions","created":"2024-03-02","cited_by_count":4,"area":null},{"id":"2102.04208","title":"Contrastive Embeddings for Neural Architectures","created":"2021-02-08","cited_by_count":3,"area":null},{"id":"2110.05242","title":"Accelerating Multi-Objective Neural Architecture Search by Random-Weight Evaluation","created":"2021-10-08","cited_by_count":3,"area":null},{"id":"2210.17180","title":"Automated Dominative Subspace Mining for Efficient Neural Architecture Search","created":"2022-10-31","cited_by_count":3,"area":null},{"id":"2302.00932","title":"Dynamic Ensemble of Low-fidelity Experts: Mitigating NAS \"Cold-Start\"","created":"2023-02-02","cited_by_count":3,"area":null},{"id":"2505.19764","title":"Multi-View Encoders for Performance Prediction in LLM-Based Agentic Workflows","created":"2025-05-26","cited_by_count":3,"area":"agents"},{"id":"2507.00880","title":"NN-Former: Rethinking Graph Structure in Neural Architecture Representation","created":"2025-07-01","cited_by_count":3,"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":"2506.04001","title":"CARL: Causality-guided Architecture Representation Learning for an Interpretable Performance Predictor","created":"2025-06-04","cited_by_count":2,"area":null},{"id":"2101.04028","title":"Unchain the Search Space with Hierarchical Differentiable Architecture Search","created":"2021-01-11","cited_by_count":1,"area":null},{"id":"2203.08130","title":"One Network Doesn't Rule Them All: Moving Beyond Handcrafted Architectures in Self-Supervised Learning","created":"2022-03-15","cited_by_count":1,"area":null},{"id":"2411.14498","title":"Delta-NAS: Difference of Architecture Encoding for Predictor-based Evolutionary Neural Architecture Search","created":"2024-11-21","cited_by_count":1,"area":null},{"id":"2510.04938","title":"ONNX-Net: Towards Universal Representations and Instant Performance Prediction for Neural Architectures","created":"2025-10-06","cited_by_count":1,"area":null},{"id":"2510.18360","title":"Learning to Flow from Generative Pretext Tasks for Neural Architecture Encoding","created":"2025-10-21","cited_by_count":1,"area":null},{"id":"2512.20112","title":"Evolutionary Neural Architecture Search with Dual Contrastive Learning","created":"2025-12-23","cited_by_count":1,"area":null},{"id":"2103.08157","title":"Pretraining Neural Architecture Search Controllers with Locality-based Self-Supervised Learning","created":"2021-03-15","cited_by_count":0,"area":null},{"id":"2108.03001","title":"Learning to Rank Ace Neural Architectures via Normalized Discounted Cumulative Gain","created":"2021-08-06","cited_by_count":0,"area":null},{"id":"2204.11838","title":"Automating Neural Architecture Design without Search","created":"2022-04-21","cited_by_count":0,"area":null},{"id":"2311.12086","title":"Robust MAE-Driven NAS: From Mask Reconstruction to Architecture Innovation","created":"2023-11-20","cited_by_count":0,"area":null},{"id":"2402.07167","title":"Large-Language-Model Empowered Dose Volume Histogram Prediction for Intensity Modulated Radiotherapy","created":"2024-02-11","cited_by_count":0,"area":null},{"id":"2402.13822","title":"MSTAR: Multi-Scale Backbone Architecture Search for Timeseries Classification","created":"2024-02-21","cited_by_count":0,"area":null},{"id":"2503.21061","title":"Neural Architecture Search by Learning a Hierarchical Search Space","created":"2025-03-27","cited_by_count":0,"area":null},{"id":"2503.22063","title":"Arch-VQ: Discrete Architecture Representation Learning with Autoregressive Priors","created":"2025-03-28","cited_by_count":0,"area":null},{"id":"2504.00772","title":"Multi-Task Neural Architecture Search Using Architecture Embedding and Transfer Rank","created":"2025-04-01","cited_by_count":0,"area":null},{"id":"2504.20079","title":"FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking","created":"2025-04-25","cited_by_count":0,"area":null},{"id":"2506.07735","title":"Language Embedding Meets Dynamic Graph: A New Exploration for Neural Architecture Representation Learning","created":"2025-06-09","cited_by_count":0,"area":null},{"id":"2509.05656","title":"OptiProxy-NAS: Optimization Proxy based End-to-End Neural Architecture Search","created":"2025-09-06","cited_by_count":0,"area":null},{"id":"2610.01317","title":"Prediction-powered Neural Architecture Search","created":"2026-10-01","cited_by_count":0,"area":null},{"id":"2610.15307","title":"FENAS: A Few-Shot Meta-Ensembling Framework for Efficient Neural Architecture Search with Synergized Zero-Cost Proxies","created":"2026-10-11","cited_by_count":0,"area":null}],"next_cursor":null}