{"total":18,"rows":[{"id":"2202.08345","title":"Learning Smooth Neural Functions via Lipschitz Regularization","created":"2022-02-16","cited_by_count":86,"area":null},{"id":"2105.13462","title":"On Linear Stability of SGD and Input-Smoothness of Neural Networks","created":"2021-05-27","cited_by_count":63,"area":null},{"id":"2106.04493","title":"A Deep Value-network Based Approach for Multi-Driver Order Dispatching","created":"2021-06-08","cited_by_count":45,"area":null},{"id":"2104.00671","title":"TRS: Transferability Reduced Ensemble via Encouraging Gradient Diversity and Model Smoothness","created":"2021-04-01","cited_by_count":38,"area":null},{"id":"2103.12531","title":"CLIP: Cheap Lipschitz Training of Neural Networks","created":"2021-03-23","cited_by_count":29,"area":null},{"id":"2407.13237","title":"LLM-Empowered State Representation for Reinforcement Learning","created":"2024-07-18","cited_by_count":28,"area":null},{"id":"2301.09249","title":"Exploring Active 3D Object Detection from a Generalization Perspective","created":"2023-01-23","cited_by_count":26,"area":null},{"id":"2202.04108","title":"A Lagrangian Duality Approach to Active Learning","created":"2022-02-08","cited_by_count":24,"area":null},{"id":"2408.11623","title":"End-to-End Cost-Effective Incentive Recommendation under Budget Constraint with Uplift Modeling","created":"2024-08-21","cited_by_count":10,"area":null},{"id":"2106.04186","title":"What training reveals about neural network complexity","created":"2021-06-08","cited_by_count":5,"area":null},{"id":"2210.00301","title":"Learning Globally Smooth Functions on Manifolds","created":"2022-10-01","cited_by_count":4,"area":null},{"id":"2411.15921","title":"A Tunable Despeckling Neural Network Stabilized via Diffusion Equation","created":"2024-11-24","cited_by_count":2,"area":null},{"id":"2102.06496","title":"Depthwise Separable Convolutions Allow for Fast and Memory-Efficient Spectral Normalization","created":"2021-02-12","cited_by_count":1,"area":null},{"id":"2110.08382","title":"A Neural Network Ensemble Approach to System Identification","created":"2021-10-15","cited_by_count":1,"area":null},{"id":"2101.00674","title":"Recoding latent sentence representations -- Dynamic gradient-based activation modification in RNNs","created":"2021-01-03","cited_by_count":0,"area":null},{"id":"2310.10391","title":"Open-CRB: Towards Open World Active Learning for 3D Object Detection","created":"2023-10-16","cited_by_count":0,"area":null},{"id":"2406.14232","title":"Enhancing robustness of data-driven SHM models: adversarial training with circle loss","created":"2024-06-20","cited_by_count":0,"area":null},{"id":"2510.14626","title":"GemiRec: Interest Quantization and Generation for Multi-Interest Recommendation","created":"2025-10-16","cited_by_count":0,"area":null}],"next_cursor":null}