{"total":16,"rows":[{"id":"2209.15055","title":"Implicit Bias of Large Depth Networks: a Notion of Rank for Nonlinear Functions","created":"2022-09-29","cited_by_count":38,"area":null},{"id":"2408.11804","title":"Approaching Deep Learning through the Spectral Dynamics of Weights","created":"2024-08-21","cited_by_count":31,"area":null},{"id":"2203.03756","title":"Flat minima generalize for low-rank matrix recovery","created":"2022-03-07","cited_by_count":28,"area":null},{"id":"2407.11239","title":"From Low Rank Gradient Subspace Stabilization to Low-Rank Weights: Observations, Theories, and Applications","created":"2024-07-15","cited_by_count":25,"area":null},{"id":"2206.05794","title":"SGD and Weight Decay Secretly Minimize the Rank of Your Neural Network","created":"2022-06-12","cited_by_count":19,"area":null},{"id":"2205.15809","title":"Feature Learning in $L_{2}$-regularized DNNs: Attraction/Repulsion and Sparsity","created":"2022-05-31","cited_by_count":17,"area":null},{"id":"2305.19008","title":"Bottleneck Structure in Learned Features: Low-Dimension vs Regularity Tradeoff","created":"2023-05-30","cited_by_count":17,"area":null},{"id":"2405.14468","title":"Neural Collapse versus Low-rank Bias: Is Deep Neural Collapse Really Optimal?","created":"2024-05-23","cited_by_count":17,"area":null},{"id":"2410.23169","title":"The Persistence of Neural Collapse Despite Low-Rank Bias","created":"2024-10-30","cited_by_count":13,"area":null},{"id":"2402.03991","title":"Provable Emergence of Deep Neural Collapse and Low-Rank Bias in $L^2$-Regularized Nonlinear Networks","created":"2024-02-06","cited_by_count":11,"area":null},{"id":"2407.05664","title":"How DNNs break the Curse of Dimensionality: Compositionality and Symmetry Learning","created":"2024-07-08","cited_by_count":6,"area":null},{"id":"2305.09145","title":"Deep ReLU Networks Have Surprisingly Simple Polytopes","created":"2023-05-16","cited_by_count":5,"area":null},{"id":"2311.06138","title":"Minimum norm interpolation by perceptra: Explicit regularization and implicit bias","created":"2023-11-10","cited_by_count":3,"area":null},{"id":"2410.02176","title":"Towards Better Generalization: Weight Decay Induces Low-rank Bias for Neural Networks","created":"2024-10-03","cited_by_count":2,"area":null},{"id":"2608.28948","title":"From the Loss Landscape to Diverse Feature Learning in Neural Networks","created":"2026-08-28","cited_by_count":0,"area":null},{"id":"2609.29520","title":"Sample-Weighted End-to-End Trace-Norm Geometry for Multitask Learning","created":"2026-08-25","cited_by_count":0,"area":null}],"next_cursor":null}