{"total":69,"rows":[{"id":"2101.11517","title":"Investigating Bi-Level Optimization for Learning and Vision from a Unified Perspective: A Survey and Beyond","created":"2021-01-27","cited_by_count":153,"area":null},{"id":"2301.08727","title":"Neural Architecture Search: Insights from 1000 Papers","created":"2023-01-20","cited_by_count":139,"area":null},{"id":"2304.10970","title":"Can GPT-4 Perform Neural Architecture Search?","created":"2023-04-21","cited_by_count":74,"area":null},{"id":"2104.13874","title":"Exploring Relational Context for Multi-Task Dense Prediction","created":"2021-04-28","cited_by_count":71,"area":null},{"id":"2203.01665","title":"$\\beta$-DARTS: Beta-Decay Regularization for Differentiable Architecture Search","created":"2022-03-03","cited_by_count":64,"area":null},{"id":"2201.10355","title":"Neural Architecture Search for Spiking Neural Networks","created":"2022-01-23","cited_by_count":53,"area":null},{"id":"2103.15954","title":"DiNTS: Differentiable Neural Network Topology Search for 3D Medical Image Segmentation","created":"2021-03-29","cited_by_count":48,"area":null},{"id":"2109.02038","title":"NAS-OoD: Neural Architecture Search for Out-of-Distribution Generalization","created":"2021-09-05","cited_by_count":28,"area":null},{"id":"2101.11342","title":"Towards Improving the Consistency, Efficiency, and Flexibility of Differentiable Neural Architecture Search","created":"2021-01-27","cited_by_count":27,"area":null},{"id":"2203.15207","title":"Generalizing Few-Shot NAS with Gradient Matching","created":"2022-03-29","cited_by_count":25,"area":null},{"id":"2111.07265","title":"Linear, or Non-Linear, That is the Question!","created":"2021-11-14","cited_by_count":19,"area":null},{"id":"2206.00843","title":"DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks","created":"2022-06-02","cited_by_count":19,"area":null},{"id":"2201.05845","title":"Recent Progress in the CUHK Dysarthric Speech Recognition System","created":"2022-01-15","cited_by_count":17,"area":null},{"id":"2112.14938","title":"Automatic Mixed-Precision Quantization Search of BERT","created":"2021-12-30","cited_by_count":16,"area":"distill"},{"id":"2209.07413","title":"EZNAS: Evolving Zero Cost Proxies For Neural Architecture Scoring","created":"2022-09-15","cited_by_count":15,"area":null},{"id":"2210.07998","title":"$\\Lambda$-DARTS: Mitigating Performance Collapse by Harmonizing Operation Selection among Cells","created":"2022-10-14","cited_by_count":15,"area":null},{"id":"2105.14669","title":"Memory-Efficient Differentiable Transformer Architecture Search","created":"2021-05-31","cited_by_count":13,"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":"2106.06575","title":"Auto-NBA: Efficient and Effective Search Over the Joint Space of Networks, Bitwidths, and Accelerators","created":"2021-06-11","cited_by_count":12,"area":null},{"id":"2109.03508","title":"RepNAS: Searching for Efficient Re-parameterizing Blocks","created":"2021-09-08","cited_by_count":11,"area":null},{"id":"2402.18443","title":"LeMo-NADe: Multi-Parameter Neural Architecture Discovery with LLMs","created":"2024-02-28","cited_by_count":11,"area":null},{"id":"2108.11014","title":"iDARTS: Improving DARTS by Node Normalization and Decorrelation Discretization","created":"2021-08-25","cited_by_count":10,"area":null},{"id":"2201.05842","title":"UDC: Unified DNAS for Compressible TinyML Models","created":"2022-01-15","cited_by_count":10,"area":null},{"id":"2108.06156","title":"EEEA-Net: An Early Exit Evolutionary Neural Architecture Search","created":"2021-08-13","cited_by_count":9,"area":null},{"id":"2412.19206","title":"NADER: Neural Architecture Design via Multi-Agent Collaboration","created":"2024-12-26","cited_by_count":8,"area":"agents"},{"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":"2301.06393","title":"$\\beta$-DARTS++: Bi-level Regularization for Proxy-robust Differentiable Architecture Search","created":"2023-01-16","cited_by_count":7,"area":null},{"id":"2301.09850","title":"RD-NAS: Enhancing One-shot Supernet Ranking Ability via Ranking Distillation from Zero-cost Proxies","created":"2023-01-24","cited_by_count":7,"area":null},{"id":"2311.06798","title":"MetaMix: Meta-state Precision Searcher for Mixed-precision Activation Quantization","created":"2023-11-12","cited_by_count":7,"area":null},{"id":"2502.20422","title":"SEKI: Self-Evolution and Knowledge Inspiration based Neural Architecture Search via Large Language Models","created":"2025-02-27","cited_by_count":7,"area":"distill"},{"id":"2109.05765","title":"DHA: End-to-End Joint Optimization of Data Augmentation Policy, Hyper-parameter and Architecture","created":"2021-09-13","cited_by_count":6,"area":null},{"id":"2111.06353","title":"Learning from Mistakes -- A Framework for Neural Architecture Search","created":"2021-11-11","cited_by_count":6,"area":null},{"id":"2302.05629","title":"Improving Differentiable Architecture Search via Self-Distillation","created":"2023-02-11","cited_by_count":6,"area":"distill"},{"id":"2112.11438","title":"Mixed Precision Low-bit Quantization of Neural Network Language Models for Speech Recognition","created":"2021-11-29","cited_by_count":5,"area":null},{"id":"2211.12759","title":"NAS-LID: Efficient Neural Architecture Search with Local Intrinsic Dimension","created":"2022-11-23","cited_by_count":5,"area":null},{"id":"2304.05405","title":"Efficient Automation of Neural Network Design: A Survey on Differentiable Neural Architecture Search","created":"2023-04-11","cited_by_count":5,"area":null},{"id":"2312.12648","title":"IS-DARTS: Stabilizing DARTS through Precise Measurement on Candidate Importance","created":"2023-12-19","cited_by_count":5,"area":null},{"id":"2501.03643","title":"Effective and Efficient Mixed Precision Quantization of Speech Foundation Models","created":"2025-01-07","cited_by_count":5,"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":"2306.15265","title":"Hyper-parameter Adaptation of Conformer ASR Systems for Elderly and Dysarthric Speech Recognition","created":"2023-06-27","cited_by_count":4,"area":null},{"id":"2307.08300","title":"ShiftNAS: Improving One-shot NAS via Probability Shift","created":"2023-07-17","cited_by_count":4,"area":null},{"id":"2311.04943","title":"MathNAS: If Blocks Have a Role in Mathematical Architecture Design","created":"2023-11-08","cited_by_count":4,"area":null},{"id":"2312.10440","title":"Weight-Entanglement Meets Gradient-Based Neural Architecture Search","created":"2023-12-16","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":"2103.07009","title":"Learning by Teaching, with Application to Neural Architecture Search","created":"2021-03-11","cited_by_count":3,"area":null},{"id":"2208.13259","title":"Bayesian Neural Network Language Modeling for Speech Recognition","created":"2022-08-28","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":"2103.07018","title":"Interleaving Learning, with Application to Neural Architecture Search","created":"2021-03-12","cited_by_count":2,"area":null},{"id":"2106.09180","title":"RHNAS: Realizable Hardware and Neural Architecture Search","created":"2021-06-17","cited_by_count":2,"area":null},{"id":"2107.02451","title":"Integrating Large Circular Kernels into CNNs through Neural Architecture Search","created":"2021-07-06","cited_by_count":2,"area":null},{"id":"2111.02569","title":"RT-RCG: Neural Network and Accelerator Search Towards Effective and Real-time ECG Reconstruction from Intracardiac Electrograms","created":"2021-11-04","cited_by_count":2,"area":null},{"id":"2111.07547","title":"Searching for TrioNet: Combining Convolution with Local and Global Self-Attention","created":"2021-11-15","cited_by_count":2,"area":null},{"id":"2209.02518","title":"Sequential Cross Attention Based Multi-task Learning","created":"2022-09-06","cited_by_count":2,"area":null},{"id":"2307.15621","title":"Shrink-Perturb Improves Architecture Mixing during Population Based Training for Neural Architecture Search","created":"2023-07-28","cited_by_count":2,"area":null},{"id":"2312.14200","title":"Efficient Architecture Search via Bi-level Data Pruning","created":"2023-12-21","cited_by_count":2,"area":null},{"id":"2110.05842","title":"Across-Task Neural Architecture Search via Meta Learning","created":"2021-10-12","cited_by_count":1,"area":null},{"id":"2211.10105","title":"$\\alpha$ DARTS Once More: Enhancing Differentiable Architecture Search by Masked Image Modeling","created":"2022-11-18","cited_by_count":1,"area":null},{"id":"2404.08002","title":"ApproxDARTS: Differentiable Neural Architecture Search with Approximate Multipliers","created":"2024-04-08","cited_by_count":1,"area":null},{"id":"2512.05403","title":"RevoNAD: Reflective Evolutionary Exploration for Neural Architecture Design","created":"2025-12-05","cited_by_count":1,"area":null},{"id":"2109.13479","title":"Knowledge Transfer based Evolutionary Deep Neural Network for Intelligent Fault Diagnosis","created":"2021-09-28","cited_by_count":0,"area":null},{"id":"2112.00275","title":"Learning from Mistakes based on Class Weighting with Application to Neural Architecture Search","created":"2021-12-01","cited_by_count":0,"area":null},{"id":"2204.06403","title":"Efficient Re-parameterization Operations Search for Easy-to-Deploy Network Based on Directional Evolutionary Strategy","created":"2022-04-13","cited_by_count":0,"area":null},{"id":"2204.09210","title":"Does Interference Exist When Training a Once-For-All Network?","created":"2022-04-20","cited_by_count":0,"area":null},{"id":"2210.08450","title":"FAQS: Communication-efficient Federate DNN Architecture and Quantization Co-Search for personalized Hardware-aware Preferences","created":"2022-10-16","cited_by_count":0,"area":null},{"id":"2309.03974","title":"DBsurf: A Discrepancy Based Method for Discrete Stochastic Gradient Estimation","created":"2023-09-07","cited_by_count":0,"area":null},{"id":"2406.16949","title":"Fair Differentiable Neural Network Architecture Search for Long-Tailed Data with Self-Supervised Learning","created":"2024-06-19","cited_by_count":0,"area":null},{"id":"2504.06457","title":"Federated Neural Architecture Search with Model-Agnostic Meta Learning","created":"2025-04-08","cited_by_count":0,"area":null},{"id":"2507.13485","title":"Neural Architecture Search with Mixed Bio-inspired Learning Rules","created":"2025-07-17","cited_by_count":0,"area":null},{"id":"2605.19247","title":"Structuring Open-Ended NAS: Semi-Automated Design Knowledge Structuring with LLMs for Efficient Neural Architecture Search","created":"2026-05-19","cited_by_count":0,"area":null}],"next_cursor":null}