{"total":19,"rows":[{"id":"2301.08727","title":"Neural Architecture Search: Insights from 1000 Papers","created":"2023-01-20","cited_by_count":139,"area":null},{"id":"2201.13396","title":"NAS-Bench-Suite: NAS Evaluation is (Now) Surprisingly Easy","created":"2022-01-31","cited_by_count":36,"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":"2206.09166","title":"NAS-Bench-Graph: Benchmarking Graph Neural Architecture Search","created":"2022-06-18","cited_by_count":25,"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":"2403.06020","title":"Multi-conditioned Graph Diffusion for Neural Architecture Search","created":"2024-03-09","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":"2210.06015","title":"EC-NAS: Energy Consumption Aware Tabular Benchmarks for Neural Architecture Search","created":"2022-10-12","cited_by_count":11,"area":null},{"id":"2405.10299","title":"HW-GPT-Bench: Hardware-Aware Architecture Benchmark for Language Models","created":"2024-05-16","cited_by_count":10,"area":null},{"id":"2211.01454","title":"Speeding up NAS with Adaptive Subset Selection","created":"2022-11-02","cited_by_count":6,"area":null},{"id":"2411.01431","title":"Efficient Deep Learning Infrastructures for Embedded Computing Systems: A Comprehensive Survey and Future Envision","created":"2024-11-03","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":"2202.03005","title":"B2EA: An Evolutionary Algorithm Assisted by Two Bayesian Optimization Modules for Neural Architecture Search","created":"2022-02-07","cited_by_count":3,"area":null},{"id":"2303.16938","title":"Are Neural Architecture Search Benchmarks Well Designed? A Deeper Look Into Operation Importance","created":"2023-03-29","cited_by_count":3,"area":null},{"id":"2609.11884","title":"CoRA-NAS: Coarse Ranking and Anchor-Residual Refinement for Neural Architecture Search","created":"2026-09-10","cited_by_count":1,"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":"2605.15649","title":"Towards Code-Oriented LM Embeddings for Surrogate-Assisted Neural Architecture Search","created":"2026-05-15","cited_by_count":0,"area":null},{"id":"2609.35707","title":"ScAn-Bench: Evaluating Scaling Analysis Methodology","created":"2026-09-28","cited_by_count":0,"area":null}],"next_cursor":null}