{"total":34,"rows":[{"id":"2106.02342","title":"ASCNet: Self-supervised Video Representation Learning with Appearance-Speed Consistency","created":"2021-06-04","cited_by_count":35,"area":null},{"id":"2211.16126","title":"Joint Neural Architecture and Hyperparameter Search for Correlated Time Series Forecasting","created":"2022-11-29","cited_by_count":22,"area":null},{"id":"2203.14577","title":"Demystifying the Neural Tangent Kernel from a Practical Perspective: Can it be trusted for Neural Architecture Search without training?","created":"2022-03-28","cited_by_count":18,"area":null},{"id":"2201.12765","title":"Improving Robustness by Enhancing Weak Subnets","created":"2022-01-30","cited_by_count":13,"area":null},{"id":"2211.08024","title":"NAR-Former: Neural Architecture Representation Learning towards Holistic Attributes Prediction","created":"2022-11-15","cited_by_count":13,"area":null},{"id":"2411.05833","title":"Fully Automated Correlated Time Series Forecasting in Minutes","created":"2024-11-06","cited_by_count":12,"area":null},{"id":"2403.04161","title":"SWAP-NAS: Sample-Wise Activation Patterns for Ultra-fast NAS","created":"2024-03-07","cited_by_count":11,"area":null},{"id":"2403.12821","title":"FlowerFormer: Empowering Neural Architecture Encoding using a Flow-aware Graph Transformer","created":"2024-03-19","cited_by_count":10,"area":null},{"id":"2211.10643","title":"Downscaled Representation Matters: Improving Image Rescaling with Collaborative Downscaled Images","created":"2022-11-19","cited_by_count":8,"area":null},{"id":"2109.07582","title":"Pareto-wise Ranking Classifier for Multi-objective Evolutionary Neural Architecture Search","created":"2021-09-14","cited_by_count":7,"area":null},{"id":"2306.10792","title":"NAR-Former V2: Rethinking Transformer for Universal Neural Network Representation Learning","created":"2023-06-19","cited_by_count":7,"area":null},{"id":"2201.12725","title":"Generalized Global Ranking-Aware Neural Architecture Ranker for Efficient Image Classifier Search","created":"2022-01-30","cited_by_count":5,"area":null},{"id":"2212.06643","title":"Boosting Semi-Supervised Learning with Contrastive Complementary Labeling","created":"2022-12-13","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":"2403.13293","title":"Building Optimal Neural Architectures using Interpretable Knowledge","created":"2024-03-20","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":"2207.05321","title":"Bi-fidelity Evolutionary Multiobjective Search for Adversarially Robust Deep Neural Architectures","created":"2022-07-12","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":"2302.13020","title":"DCLP: Neural Architecture Predictor with Curriculum Contrastive Learning","created":"2023-02-25","cited_by_count":3,"area":null},{"id":"2507.00880","title":"NN-Former: Rethinking Graph Structure in Neural Architecture Representation","created":"2025-07-01","cited_by_count":3,"area":null},{"id":"2212.14049","title":"Differentiable Search of Accurate and Robust Architectures","created":"2022-12-28","cited_by_count":2,"area":null},{"id":"2311.18451","title":"How Much Is Hidden in the NAS Benchmarks? Few-Shot Adaptation of a NAS Predictor","created":"2023-11-30","cited_by_count":2,"area":null},{"id":"2302.00059","title":"NASiam: Efficient Representation Learning using Neural Architecture Search for Siamese Networks","created":"2023-01-31","cited_by_count":1,"area":null},{"id":"2307.07919","title":"Neural Architecture Retrieval","created":"2023-07-16","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":"2203.02086","title":"WPNAS: Neural Architecture Search by jointly using Weight Sharing and Predictor","created":"2022-03-04","cited_by_count":0,"area":null},{"id":"2310.15074","title":"MGAS: Multi-Granularity Architecture Search for Trade-Off Between Model Effectiveness and Efficiency","created":"2023-10-23","cited_by_count":0,"area":null},{"id":"2402.05821","title":"Guided Evolution with Binary Discriminators for ML Program Search","created":"2024-02-08","cited_by_count":0,"area":null},{"id":"2404.15622","title":"FR-NAS: Forward-and-Reverse Graph Predictor for Efficient Neural Architecture Search","created":"2024-04-24","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":"2605.07378","title":"Zero-Shot Neural Network Evaluation with Sample-Wise Activation Patterns","created":"2026-05-08","cited_by_count":0,"area":null},{"id":"2607.03551","title":"WeightCLIP: Aligning Datasets and Models for Weight Space Learning","created":"2026-07-03","cited_by_count":0,"area":null},{"id":"2607.26404","title":"How Much Does Message Passing Matter? A Drop-In Study of GNN Layers for Neural Network Graph Regression","created":"2026-07-29","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}