{"total":14,"rows":[{"id":"2110.14678","title":"Meta-Learning Sparse Implicit Neural Representations","created":"2021-10-27","cited_by_count":48,"area":null},{"id":"2205.08957","title":"Meta-Learning Sparse Compression Networks","created":"2022-05-18","cited_by_count":22,"area":null},{"id":"2110.08190","title":"Sparse Progressive Distillation: Resolving Overfitting under Pretrain-and-Finetune Paradigm","created":"2021-10-15","cited_by_count":21,"area":null},{"id":"2203.09413","title":"Stability and Risk Bounds of Iterative Hard Thresholding","created":"2022-03-17","cited_by_count":7,"area":null},{"id":"2205.15619","title":"Meta-ticket: Finding optimal subnetworks for few-shot learning within randomly initialized neural networks","created":"2022-05-31","cited_by_count":4,"area":null},{"id":"2206.01690","title":"Dynamic Kernel Selection for Improved Generalization and Memory Efficiency in Meta-learning","created":"2022-06-03","cited_by_count":2,"area":null},{"id":"2307.04365","title":"One-Shot Pruning for Fast-adapting Pre-trained Models on Devices","created":"2023-07-10","cited_by_count":1,"area":null},{"id":"2101.00203","title":"B-SMALL: A Bayesian Neural Network approach to Sparse Model-Agnostic Meta-Learning","created":"2021-01-01","cited_by_count":0,"area":null},{"id":"2301.11560","title":"Voting from Nearest Tasks: Meta-Vote Pruning of Pre-trained Models for Downstream Tasks","created":"2023-01-27","cited_by_count":0,"area":null},{"id":"2304.02862","title":"Learning to Learn with Indispensable Connections","created":"2023-04-06","cited_by_count":0,"area":null},{"id":"2306.08460","title":"Improving Generalization in Meta-Learning via Meta-Gradient Augmentation","created":"2023-06-14","cited_by_count":0,"area":null},{"id":"2405.12299","title":"Perturbing the Gradient for Alleviating Meta Overfitting","created":"2024-05-20","cited_by_count":0,"area":null},{"id":"2411.06746","title":"Neuromodulated Meta-Learning","created":"2024-11-11","cited_by_count":0,"area":null},{"id":"2509.02418","title":"Learnable Loss Geometries with Mirror Descent for Scalable and Convergent Meta-Learning","created":"2025-09-02","cited_by_count":0,"area":null}],"next_cursor":null}