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neural collapse

89 papers

NC

Papers

On Bias-Variance Alignment in Deep Models ICLR 2024 Pushing Boundaries: Mixup's Influence on Neural Collapse ICLR 2024 Symmetric Neural-Collapse Representations with Supervised Contrastive Loss: The Impact of ReLU and Batching ICLR 2024 Targeted Representation Alignment for Open-World Semi-Supervised Learning CVPR 2024 The Impact of Geometric Complexity on Neural Collapse in Transfer Learning NeurIPS 2024 The Prevalence of Neural Collapse in Neural Multivariate Regression NeurIPS 2024 Understanding Representation of Deep Equilibrium Models from Neural Collapse Perspective NeurIPS 2024 Unveiling the Dynamics of Information Interplay in Supervised Learning ICML 2024 A Neural Collapse Perspective on Feature Evolution in Graph Neural Networks NeurIPS 2023 Are Neurons Actually Collapsed? On the Fine-Grained Structure in Neural Representations ICML 2023 Deep Neural Collapse Is Provably Optimal for the Deep Unconstrained Features Model NeurIPS 2023 Feature learning in deep classifiers through Intermediate Neural Collapse ICML 2023 Feature selection and low test error in shallow low-rotation ReLU networks ICLR 2023 Generalizing and Decoupling Neural Collapse via Hyperspherical Uniformity Gap ICLR 2023 How Far Pre-trained Models Are from Neural Collapse on the Target Dataset Informs their Transferability ICCV 2023 Inducing Neural Collapse in Deep Long-tailed Learning AISTATS 2023 Inducing Neural Collapse to a Fixed Hierarchy-Aware Frame for Reducing Mistake Severity ICCV 2023 Memorization-Dilation: Modeling Neural Collapse Under Noise ICLR 2023 Neural Collapse in Deep Linear Networks: From Balanced to Imbalanced Data ICML 2023 Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class-Incremental Learning ICLR 2023 Neural (Tangent Kernel) Collapse NeurIPS 2023 No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Synthetic and Fixed Classifier ICCV 2023 Perturbation Analysis of Neural Collapse ICML 2023 Quantifying the Variability Collapse of Neural Networks ICML 2023 Residual Alignment: Uncovering the Mechanisms of Residual Networks NeurIPS 2023