Co-occurring keywords · papers mentioning both
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