{"total":25,"rows":[{"id":"2112.04660","title":"A Fully Single Loop Algorithm for Bilevel Optimization without Hessian Inverse","created":"2021-12-09","cited_by_count":53,"area":null},{"id":"2212.00974","title":"Faster Adaptive Federated Learning","created":"2022-12-02","cited_by_count":35,"area":null},{"id":"2308.10134","title":"AutoReP: Automatic ReLU Replacement for Fast Private Network Inference","created":"2023-08-20","cited_by_count":29,"area":null},{"id":"2309.14331","title":"LinGCN: Structural Linearized Graph Convolutional Network for Homomorphically Encrypted Inference","created":"2023-09-25","cited_by_count":27,"area":null},{"id":"2308.11825","title":"Accel-GCN: High-Performance GPU Accelerator Design for Graph Convolution Networks","created":"2023-08-22","cited_by_count":22,"area":null},{"id":"2409.13853","title":"Unlocking Memorization in Large Language Models with Dynamic Soft Prompting","created":"2024-09-20","cited_by_count":21,"area":null},{"id":"2403.14729","title":"Auto-Train-Once: Controller Network Guided Automatic Network Pruning from Scratch","created":"2024-03-21","cited_by_count":20,"area":null},{"id":"2204.03804","title":"A Learnable Variational Model for Joint Multimodal MRI Reconstruction and Synthesis","created":"2022-04-08","cited_by_count":16,"area":null},{"id":"2208.03808","title":"Distributed Contrastive Learning for Medical Image Segmentation","created":"2022-08-07","cited_by_count":16,"area":null},{"id":"2312.12670","title":"On the Role of Server Momentum in Federated Learning","created":"2023-12-19","cited_by_count":16,"area":null},{"id":"2208.06058","title":"An Accelerated Doubly Stochastic Gradient Method with Faster Explicit Model Identification","created":"2022-08-11","cited_by_count":14,"area":null},{"id":"2202.06464","title":"Synthetic Data Can Also Teach: Synthesizing Effective Data for Unsupervised Visual Representation Learning","created":"2022-02-14","cited_by_count":12,"area":null},{"id":"2206.05558","title":"Communication-Efficient Robust Federated Learning with Noisy Labels","created":"2022-06-11","cited_by_count":11,"area":null},{"id":"2207.07650","title":"Contrastive Brain Network Learning via Hierarchical Signed Graph Pooling Model","created":"2022-07-14","cited_by_count":8,"area":null},{"id":"2110.11784","title":"Safe rules for the identification of zeros in the solutions of the SLOPE problem","created":"2021-10-22","cited_by_count":6,"area":null},{"id":"2102.04108","title":"Dynamic Sasvi: Strong Safe Screening for Norm-Regularized Least Squares","created":"2021-02-08","cited_by_count":4,"area":null},{"id":"2412.14426","title":"All-in-One Tuning and Structural Pruning for Domain-Specific LLMs","created":"2024-12-19","cited_by_count":4,"area":null},{"id":"2101.06982","title":"Screening for Sparse Online Learning","created":"2021-01-18","cited_by_count":2,"area":null},{"id":"2306.13561","title":"Efficient Model Selection for Predictive Pattern Mining Model by Safe Pattern Pruning","created":"2023-06-23","cited_by_count":2,"area":null},{"id":"2310.09667","title":"Edge-InversionNet: Enabling Efficient Inference of InversionNet on Edge Devices","created":"2023-10-14","cited_by_count":2,"area":null},{"id":"2405.15357","title":"Strong Screening Rules for Group-based SLOPE Models","created":"2024-05-24","cited_by_count":2,"area":null},{"id":"2204.10981","title":"Distributed Dynamic Safe Screening Algorithms for Sparse Regularization","created":"2022-04-23","cited_by_count":1,"area":null},{"id":"2504.03152","title":"Safe Screening Rules for Group OWL Models","created":"2025-04-04","cited_by_count":1,"area":null},{"id":"2111.14324","title":"Is the Rush to Machine Learning Jeopardizing Safety? Results of a Survey","created":"2021-11-29","cited_by_count":0,"area":null},{"id":"2506.09451","title":"Safe Screening Rules for Group SLOPE","created":"2025-06-11","cited_by_count":0,"area":null}],"next_cursor":null}