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Prevalence of neural collapse during the terminal phase of deep learning training

https://doi.org/10.1073/pnas.2015509117

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inferred← citeshttps://doi.org/10.1016/j.physd.2021.132952openalex-snapshot

Deep regularization and direct training of the inner layers of Neural Networks with Kernel Flows

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inferred← citeshttps://doi.org/10.1016/j.ress.2025.111639openalex-snapshot

Symmetric Radial Vectors for uncertainty-aware rotary machinery fault diagnosis

inferred← citeshttps://doi.org/10.1017/s0956792525100193openalex-snapshot

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inferred← citeshttps://doi.org/10.1038/s41467-023-43958-wopenalex-snapshot

Revealing hidden patterns in deep neural network feature space continuum via manifold learning

inferred← citeshttps://doi.org/10.1038/s41467-025-58276-6openalex-snapshot

Coding schemes in neural networks learning classification tasks

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Strong and localized recurrence controls the dimensionality of neural activity across brain areas

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Out of distribution detection with attention head masking for multimodal document classification

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Feature-interactive Siamese graph encoder-based image analysis to predict STAS from histopathology images in lung cancer

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Gradient-based learning drives robust representations in recurrent neural networks by balancing compression and expansion

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Spatially embedded recurrent neural networks reveal widespread links between structural and functional neuroscience findings

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Improving long‐tail classification via decoupling and regularisation

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Another step toward demystifying deep neural networks

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A law of data separation in deep learning

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Representations and generalization in artificial and brain neural networks

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The role of fibration symmetries in geometric deep learning

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Prevalence of simplex compression in adversarial deep neural networks

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Semi-Supervised Triply Robust Inductive Transfer Learning

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Learning sparse features can lead to overfitting in neural networks *

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NCFDet: Enhanced point cloud features using the neural collapse phenomenon in multimodal fusion for 3D object detection

inferred← citeshttps://doi.org/10.1101/2020.11.02.365072openalex-snapshot

Strong and localized recurrence controls dimensionality of neural activity across brain areas

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Evolution of neural activity in circuits bridging sensory and abstract knowledge

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A law of next-token prediction in large language models

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Double Descent in Quantum Kernel Methods

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Gaussian universality of perceptrons with random labels

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Problem-Dependent Power of Quantum Neural Networks on Multiclass Classification

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Zeroth, first, and second-order phase transitions in deep neural networks

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Spring-Block Theory of Feature Learning in Deep Neural Networks

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Reviewing Model Collapse and Countermeasures

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Crafting Targeted Universal Adversarial Perturbations: Considering Images as Noise

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Few-Shot Object Detection in Remote Sensing: Mitigating Label Inconsistencies and Navigating Category Variations

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Resource-Efficient Personalization in Federated Learning With Closed-Form Classifiers

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Class Separation Dynamics in Vision Transformers: An Empirical Study

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Variance-Covariance Regularization Improves Continual Learning

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XtraLight-MedMamba: An Ultra-Lightweight Mamba-Based Framework for Histopathologic Classification of Neoplastic Tubular Adenomas

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Disentangling Activation Scaling From Layer-Wise Learning-Rate Reweighting at the Final Representation Boundary

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A Kernel Analysis of Feature Learning in Deep Neural Networks

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Dependence Induced Representations

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Dynamic Log-Determinant Gating for Cross-Subject EEG Domain Adaptation

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Semi-Supervised Few-Shot Fault Diagnosis based on Causal Mechanism Consistency Priors

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Balancing Long-tailed Point Cloud Semantic Segmentation through Neural Collapse

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Multi-Dimensional Gram Fingerprinting: A Unified Spectral Geometric Framework for Adversarial Detection

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Attention-Guided Hybrid Gaussian Adversarial Testing with AHG-Adv

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Incremental Learning via Rate Reduction

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Efficient Maximal Coding Rate Reduction by Variational Forms

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Balanced Contrastive Learning for Long-Tailed Visual Recognition

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CRAFT: Concept Recursive Activation FacTorization for Explainability

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DiGeo: Discriminative Geometry-Aware Learning for Generalized Few-Shot Object Detection

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Decoupling MaxLogit for Out-of-Distribution Detection

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Understanding Imbalanced Semantic Segmentation Through Neural Collapse

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GEN: Pushing the Limits of Softmax-Based Out-of-Distribution Detection

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Rethinking Domain Generalization for Face Anti-spoofing: Separability and Alignment

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An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in Heterogeneous Federated Learning

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Navigate Beyond Shortcuts: Debiased Learning through the Lens of Neural Collapse

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Hyperspherical Classification with Dynamic Label-to-Prototype Assignment

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Targeted Representation Alignment for Open-World Semi-Supervised Learning

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Classes Are Not Equal: An Empirical Study on Image Recognition Fairness

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Pre-trained Vision and Language Transformers are Few-Shot Incremental Learners

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Learning Equi-Angular Representations for Online Continual Learning

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Stationary Representations: Optimally Approximating Compatibility and Implications for Improved Model Replacements

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Detecting Out-of-distribution through the Lens of Neural Collapse

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FedNPC: Stochastic Noise-driven Post-hoc Classifier Calibration Method for Federated Long-Tailed Learning

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FloCoDe: Unbiased Dynamic Scene Graph Generation with Temporal Consistency and Correlation Debiasing

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Multi-Layer Radial Basis Function Networks for Out-of-Distribution Detection

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Confidence-Calibrated Covariate Shift Correction for Few-Shot Classification in Vision-Language Models

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Learning Stable Task-Level Manifold for Few-Shot Learning

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Neural Collapse in Deep Homogeneous Classifiers and The Role of Weight Decay

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Object-Conditioned Bag of Instances for Few-Shot Personalized Instance Recognition

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EPA: Neural Collapse Inspired Robust Out-of-distribution Detector

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Engineering the Neural Collapse Geometry of Supervised-Contrastive Loss

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Maximal Coding Rate Reduction for Graph Embeddings

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Deep Neural Network Models Trained with a Fixed Random Classifier Transfer Better Across Domains

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Multi Queue for Unsupervised Person Re-identification

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Fresh-CL: Feature Realignment through Experts on Hypersphere in Continual Learning

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UAP Attack for Radio Signal Modulation Classification Based on Deep Learning

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Inducing Neural Collapse to a Fixed Hierarchy-Aware Frame for Reducing Mistake Severity

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No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Synthetic and Fixed Classifier

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Unsupervised Manifold Linearizing and Clustering

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How Far Pre-trained Models Are from Neural Collapse on the Target Dataset Informs their Transferability

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Get the Best of Both Worlds: Improving Accuracy and Transferability by Grassmann Class Representation

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Diversity-Enhanced Distribution Alignment for Dataset Distillation

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Overcoming Dual Drift for Continual Long-Tailed Visual Question Answering

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Debiased Curriculum Adaptation for Safe Transfer Learning in Chest X-Ray Classification

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SegDA: Maximum Separable Segment Mask with Pseudo Labels for Domain Adaptive Semantic Segmentation

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Evolving from Unknown to Known: Retentive Angular Representation Learning for Incremental Open Set Recognition

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Prediction Degeneracy in Medical Vision-Language Models: Implications for Robustness and Interpretability

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JORTs: Jenk's Optimization for Restrictive Training

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Out-of-Distribution Detection with Angular-Magnitude Likelihood and Targeted Feature Refinement

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