{"total":50,"rows":[{"id":"2305.13165","title":"Deep Neural Collapse Is Provably Optimal for the Deep Unconstrained Features Model","created":"2023-05-22","cited_by_count":43,"area":null},{"id":"2310.05351","title":"Generalized Neural Collapse for a Large Number of Classes","created":"2023-10-09","cited_by_count":39,"area":null},{"id":"2309.09725","title":"Neural Collapse for Unconstrained Feature Model under Cross-entropy Loss with Imbalanced Data","created":"2023-09-18","cited_by_count":38,"area":null},{"id":"2405.17767","title":"Linguistic Collapse: Neural Collapse in (Large) Language Models","created":"2024-05-28","cited_by_count":38,"area":null},{"id":"2310.12244","title":"A Unified Approach to Domain Incremental Learning with Memory: Theory and Algorithm","created":"2023-10-18","cited_by_count":33,"area":null},{"id":"2505.18032","title":"Mahalanobis++: Improving OOD Detection via Feature Normalization","created":"2025-05-23","cited_by_count":32,"area":null},{"id":"2406.04112","title":"Compressible Dynamics in Deep Overparameterized Low-Rank Learning & Adaptation","created":"2024-06-06","cited_by_count":26,"area":null},{"id":"2412.07909","title":"Explaining and Mitigating the Modality Gap in Contrastive Multimodal Learning","created":"2024-12-10","cited_by_count":26,"area":null},{"id":"2212.12206","title":"Understanding and Improving Transfer Learning of Deep Models via Neural Collapse","created":"2022-12-23","cited_by_count":24,"area":null},{"id":"2306.01154","title":"The Law of Parsimony in Gradient Descent for Learning Deep Linear Networks","created":"2023-06-01","cited_by_count":20,"area":null},{"id":"2310.15903","title":"Neural Collapse in Multi-label Learning with Pick-all-label Loss","created":"2023-10-24","cited_by_count":14,"area":null},{"id":"2411.01248","title":"Guiding Neural Collapse: Optimising Towards the Nearest Simplex Equiangular Tight Frame","created":"2024-11-02","cited_by_count":14,"area":null},{"id":"2405.05587","title":"Navigate Beyond Shortcuts: Debiased Learning through the Lens of Neural Collapse","created":"2024-05-09","cited_by_count":13,"area":null},{"id":"2406.01909","title":"A Global Geometric Analysis of Maximal Coding Rate Reduction","created":"2024-06-04","cited_by_count":13,"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":"2405.00985","title":"Progressive Feedforward Collapse of ResNet Training","created":"2024-05-02","cited_by_count":12,"area":null},{"id":"2402.03979","title":"Cross Entropy versus Label Smoothing: A Neural Collapse Perspective","created":"2024-02-06","cited_by_count":11,"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":"2306.17105","title":"Are Neurons Actually Collapsed? On the Fine-Grained Structure in Neural Representations","created":"2023-06-29","cited_by_count":10,"area":null},{"id":"2401.08977","title":"FedLoGe: Joint Local and Generic Federated Learning under Long-tailed Data","created":"2024-01-17","cited_by_count":10,"area":null},{"id":"2409.01832","title":"Beyond Unconstrained Features: Neural Collapse for Shallow Neural Networks with General Data","created":"2024-09-03","cited_by_count":10,"area":null},{"id":"2306.03440","title":"Quantifying the Variability Collapse of Neural Networks","created":"2023-06-06","cited_by_count":9,"area":null},{"id":"2309.04644","title":"Towards Understanding Neural Collapse: The Effects of Batch Normalization and Weight Decay","created":"2023-09-09","cited_by_count":9,"area":null},{"id":"2304.08914","title":"A Study of Neural Collapse Phenomenon: Grassmannian Frame, Symmetry and Generalization","created":"2023-04-18","cited_by_count":7,"area":null},{"id":"2310.08358","title":"Towards Demystifying the Generalization Behaviors When Neural Collapse Emerges","created":"2023-10-12","cited_by_count":7,"area":null},{"id":"2311.05139","title":"Hard-Negative Sampling for Contrastive Learning: Optimal Representation Geometry and Neural- vs Dimensional-Collapse","created":"2023-11-09","cited_by_count":6,"area":null},{"id":"2306.07960","title":"Symmetric Neural-Collapse Representations with Supervised Contrastive Loss: The Impact of ReLU and Batching","created":"2023-06-13","cited_by_count":5,"area":null},{"id":"2402.06751","title":"Low-Rank Learning by Design: the Role of Network Architecture and Activation Linearity in Gradient Rank Collapse","created":"2024-02-09","cited_by_count":5,"area":null},{"id":"2402.18884","title":"Supervised Contrastive Representation Learning: Landscape Analysis with Unconstrained Features","created":"2024-02-29","cited_by_count":5,"area":null},{"id":"2406.02105","title":"Can Kernel Methods Explain How the Data Affects Neural Collapse?","created":"2024-06-04","cited_by_count":4,"area":null},{"id":"2306.04072","title":"Exploring Simple, High Quality Out-of-Distribution Detection with L2 Normalization","created":"2023-06-07","cited_by_count":3,"area":null},{"id":"2311.05061","title":"Efficient Compression of Overparameterized Deep Models through Low-Dimensional Learning Dynamics","created":"2023-11-08","cited_by_count":3,"area":null},{"id":"2410.23391","title":"Understanding Representation of Deep Equilibrium Models from Neural Collapse Perspective","created":"2024-10-30","cited_by_count":3,"area":null},{"id":"2511.08322","title":"Mitigating Negative Flips via Margin Preserving Training","created":"2025-11-11","cited_by_count":3,"area":null},{"id":"2403.18699","title":"Preventing Collapse in Contrastive Learning with Orthonormal Prototypes (CLOP)","created":"2024-03-27","cited_by_count":2,"area":null},{"id":"2501.02364","title":"Linearly Separable Features in Shallow Nonlinear Networks: Width Scales Polynomially with Intrinsic Data Dimension","created":"2025-01-04","cited_by_count":2,"area":null},{"id":"2505.03012","title":"GIF: Generative Inspiration for Face Recognition at Scale","created":"2025-05-05","cited_by_count":2,"area":null},{"id":"2505.09308","title":"Neural Multivariate Regression: Qualitative Insights from the Unconstrained Feature Model","created":"2025-05-14","cited_by_count":2,"area":null},{"id":"2506.20344","title":"A Complete Loss Landscape Analysis of Regularized Deep Matrix Factorization","created":"2025-06-25","cited_by_count":2,"area":null},{"id":"2511.08196","title":"UCDSC: Open Set UnCertainty aware Deep Simplex Classifier for Medical Image Datasets","created":"2025-11-11","cited_by_count":2,"area":null},{"id":"2604.00230","title":"Neural Collapse Dynamics: Depth, Activation, Regularisation, and Feature Norm Threshold","created":"2026-03-31","cited_by_count":2,"area":null},{"id":"2510.01105","title":"Geometric Analysis of Neural Regression Collapse via Intrinsic Dimension","created":"2025-10-01","cited_by_count":1,"area":null},{"id":"2603.08374","title":"This Looks Distinctly Like That: Grounding Interpretable Recognition in Stiefel Geometry against Neural Collapse","created":"2026-03-09","cited_by_count":1,"area":null},{"id":"2605.09861","title":"Flag Varieties: A Geometric Framework for Deep Network Alignment","created":"2026-05-11","cited_by_count":1,"area":null},{"id":"2410.05025","title":"$\\ell_1$-norm rank-one symmetric matrix factorization has no spurious second-order stationary points","created":"2024-10-07","cited_by_count":0,"area":null},{"id":"2603.17548","title":"CLeAN: Continual Learning Adaptive Normalization in Dynamic Environments","created":"2026-03-18","cited_by_count":0,"area":null},{"id":"2604.18237","title":"Semantic-based Distributed Learning for Diverse and Discriminative Representations","created":"2026-04-20","cited_by_count":0,"area":null},{"id":"2605.20302","title":"Neural Collapse by Design: Learning Class Prototypes on the Hypersphere","created":"2026-05-19","cited_by_count":0,"area":null},{"id":"2606.00344","title":"The role of class encoding in neural collapse","created":"2026-05-29","cited_by_count":0,"area":null},{"id":"2606.01883","title":"Beyond the Simplex: Balanced Prototype Geometry for Scorer-Agnostic Open-Set Recognition","created":"2026-06-01","cited_by_count":0,"area":null}],"next_cursor":null}