neural collapse

The Asymmetric Maximum Margin Bias of Quasi-Homogeneous Neural Networks ICLR 2023 Understanding Imbalanced Semantic Segmentation Through Neural Collapse CVPR 2023 An Unconstrained Layer-Peeled Perspective on Neural Collapse ICLR 2022 Are All Losses Created Equal: A Neural Collapse Perspective NeurIPS 2022 Extended Unconstrained Features Model for Exploring Deep Neural Collapse ICML 2022 Imbalance Trouble: Revisiting Neural-Collapse Geometry NeurIPS 2022 Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnable Classifier at the End of Deep Neural Network? NeurIPS 2022 Neural Collapse Under MSE Loss: Proximity to and Dynamics on the Central Path ICLR 2022 Neural Collapse with Normalized Features: A Geometric Analysis over the Riemannian Manifold NeurIPS 2022 On the Optimization Landscape of Neural Collapse under MSE Loss: Global Optimality with Unconstrained Features ICML 2022 On the Role of Neural Collapse in Transfer Learning ICLR 2022 A Geometric Analysis of Neural Collapse with Unconstrained Features NeurIPS 2021 Imitating Deep Learning Dynamics via Locally Elastic Stochastic Differential Equations NeurIPS 2021 Revealing the Structure of Deep Neural Networks via Convex Duality ICML 2021