{"total":17,"rows":[{"id":"2106.13799","title":"Assessing Generalization of SGD via Disagreement","created":"2021-06-25","cited_by_count":117,"area":null},{"id":"2302.14040","title":"Permutation Equivariant Neural Functionals","created":"2023-02-27","cited_by_count":70,"area":null},{"id":"2305.13546","title":"Neural Functional Transformers","created":"2023-05-22","cited_by_count":52,"area":null},{"id":"2406.09997","title":"Towards Scalable and Versatile Weight Space Learning","created":"2024-06-14","cited_by_count":41,"area":null},{"id":"2209.14764","title":"Model Zoos: A Dataset of Diverse Populations of Neural Network Models","created":"2022-09-29","cited_by_count":39,"area":null},{"id":"2210.05129","title":"Multi-Object Navigation with dynamically learned neural implicit representations","created":"2022-10-11","cited_by_count":21,"area":null},{"id":"2303.15488","title":"On the Importance of Feature Separability in Predicting Out-Of-Distribution Error","created":"2023-03-27","cited_by_count":15,"area":null},{"id":"2110.15288","title":"Hyper-Representations: Self-Supervised Representation Learning on Neural Network Weights for Model Characteristic Prediction","created":"2021-10-28","cited_by_count":9,"area":null},{"id":"2406.18630","title":"Improving Hyperparameter Optimization with Checkpointed Model Weights","created":"2024-06-26","cited_by_count":5,"area":null},{"id":"2304.13718","title":"Sparsified Model Zoo Twins: Investigating Populations of Sparsified Neural Network Models","created":"2023-04-26","cited_by_count":4,"area":null},{"id":"2401.08909","title":"Leveraging Gradients for Unsupervised Accuracy Estimation under Distribution Shift","created":"2024-01-17","cited_by_count":3,"area":null},{"id":"2504.18072","title":"A Model Zoo on Phase Transitions in Neural Networks","created":"2025-04-25","cited_by_count":3,"area":null},{"id":"2110.12259","title":"In Search of Probeable Generalization Measures","created":"2021-10-23","cited_by_count":2,"area":null},{"id":"2203.16723","title":"Exploiting Explainable Metrics for Augmented SGD","created":"2022-03-31","cited_by_count":2,"area":null},{"id":"2106.10653","title":"Practical Assessment of Generalization Performance Robustness for Deep Networks via Contrastive Examples","created":"2021-06-20","cited_by_count":1,"area":null},{"id":"2102.00369","title":"Spectral Roll-off Points Variations: Exploring Useful Information in Feature Maps by Its Variations","created":"2021-01-31","cited_by_count":0,"area":null},{"id":"2311.11717","title":"Can we infer the presence of Differential Privacy in Deep Learning models' weights? Towards more secure Deep Learning","created":"2023-11-20","cited_by_count":0,"area":null}],"next_cursor":null}