{"total":87,"rows":[{"id":"2302.03004","title":"Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class Incremental Learning","created":"2023-02-06","cited_by_count":116,"area":null},{"id":"2202.08087","title":"Extended Unconstrained Features Model for Exploring Deep Neural Collapse","created":"2022-02-16","cited_by_count":102,"area":null},{"id":"2203.09081","title":"Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnable Classifier at the End of Deep Neural Network?","created":"2022-03-17","cited_by_count":100,"area":null},{"id":"2203.01238","title":"On the Optimization Landscape of Neural Collapse under MSE Loss: Global Optimality with Unconstrained Features","created":"2022-03-02","cited_by_count":97,"area":null},{"id":"2206.04041","title":"Neural Collapse: A Review on Modelling Principles and Generalization","created":"2022-06-08","cited_by_count":95,"area":null},{"id":"2305.18887","title":"How Does Information Bottleneck Help Deep Learning?","created":"2023-05-30","cited_by_count":93,"area":null},{"id":"2208.05512","title":"Imbalance Trouble: Revisiting Neural-Collapse Geometry","created":"2022-08-10","cited_by_count":80,"area":null},{"id":"2210.02192","title":"Are All Losses Created Equal: A Neural Collapse Perspective","created":"2022-10-04","cited_by_count":78,"area":null},{"id":"2410.08847","title":"Unintentional Unalignment: Likelihood Displacement in Direct Preference Optimization","created":"2024-10-11","cited_by_count":67,"area":"alignment"},{"id":"2202.08384","title":"Limitations of Neural Collapse for Understanding Generalization in Deep Learning","created":"2022-02-17","cited_by_count":63,"area":null},{"id":"2303.10058","title":"No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Synthetic and Fixed Classifier","created":"2023-03-17","cited_by_count":55,"area":null},{"id":"2209.09211","title":"Neural Collapse with Normalized Features: A Geometric Analysis over the Riemannian Manifold","created":"2022-09-19","cited_by_count":50,"area":null},{"id":"2301.01100","title":"Understanding Imbalanced Semantic Segmentation Through Neural Collapse","created":"2023-01-03","cited_by_count":46,"area":null},{"id":"2204.08735","title":"Neural Collapse Inspired Attraction-Repulsion-Balanced Loss for Imbalanced Learning","created":"2022-04-19","cited_by_count":43,"area":null},{"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":"2210.16658","title":"Perturbation Analysis of Neural Collapse","created":"2022-10-29","cited_by_count":35,"area":null},{"id":"2209.06235","title":"Improving Self-Supervised Learning by Characterizing Idealized Representations","created":"2022-09-13","cited_by_count":34,"area":null},{"id":"2210.03820","title":"The Asymmetric Maximum Margin Bias of Quasi-Homogeneous Neural Networks","created":"2022-10-07","cited_by_count":25,"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":"2209.08378","title":"Linking Neural Collapse and L2 Normalization with Improved Out-of-Distribution Detection in Deep Neural Networks","created":"2022-09-17","cited_by_count":23,"area":null},{"id":"2303.07608","title":"On the Implicit Geometry of Cross-Entropy Parameterizations for Label-Imbalanced Data","created":"2023-03-14","cited_by_count":23,"area":null},{"id":"2402.13728","title":"Average gradient outer product as a mechanism for deep neural collapse","created":"2024-02-21","cited_by_count":22,"area":null},{"id":"2307.01951","title":"A Neural Collapse Perspective on Feature Evolution in Graph Neural Networks","created":"2023-07-04","cited_by_count":19,"area":null},{"id":"2401.02058","title":"Neural Collapse for Cross-entropy Class-Imbalanced Learning with Unconstrained ReLU Feature Model","created":"2024-01-04","cited_by_count":19,"area":null},{"id":"2303.04379","title":"HappyMap: A Generalized Multi-calibration Method","created":"2023-03-08","cited_by_count":18,"area":null},{"id":"2304.03935","title":"Last-Layer Fairness Fine-tuning is Simple and Effective for Neural Networks","created":"2023-04-08","cited_by_count":17,"area":null},{"id":"2405.14468","title":"Neural Collapse versus Low-rank Bias: Is Deep Neural Collapse Really Optimal?","created":"2024-05-23","cited_by_count":17,"area":null},{"id":"2410.04887","title":"Wide Neural Networks Trained with Weight Decay Provably Exhibit Neural Collapse","created":"2024-10-07","cited_by_count":16,"area":null},{"id":"2308.01746","title":"Neural Collapse Terminus: A Unified Solution for Class Incremental Learning and Its Variants","created":"2023-08-03","cited_by_count":14,"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":"2206.02792","title":"FIFA: Making Fairness More Generalizable in Classifiers Trained on Imbalanced Data","created":"2022-06-06","cited_by_count":13,"area":null},{"id":"2210.10041","title":"Hidden State Variability of Pretrained Language Models Can Guide Computation Reduction for Transfer Learning","created":"2022-10-18","cited_by_count":13,"area":null},{"id":"2405.18972","title":"Federated Learning with Bilateral Curation for Partially Class-Disjoint Data","created":"2024-05-29","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":"2402.03991","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":"2404.06106","title":"Unifying Low Dimensional Spectra in Deep Learning","created":"2024-04-09","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":"2410.03006","title":"Formation of Representations in Neural Networks","created":"2024-10-03","cited_by_count":10,"area":null},{"id":"2505.15239","title":"Neural Collapse is Globally Optimal in Deep Regularized ResNets and Transformers","created":"2025-05-21","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":"2311.07444","title":"On the Robustness of Neural Collapse and the Neural Collapse of Robustness","created":"2023-11-13","cited_by_count":9,"area":null},{"id":"2307.05906","title":"Mini-Batch Optimization of Contrastive Loss","created":"2023-07-12","cited_by_count":8,"area":null},{"id":"2412.02865","title":"Memory-efficient Continual Learning with Neural Collapse Contrastive","created":"2024-12-03","cited_by_count":8,"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":"2305.16573","title":"Exploring Weight Balancing on Long-Tailed Recognition Problem","created":"2023-05-26","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":"2503.18042","title":"DualCP: Rehearsal-Free Domain-Incremental Learning via Dual-Level Concept Prototype","created":"2025-03-23","cited_by_count":7,"area":null},{"id":"2209.08745","title":"Importance Tempering: Group Robustness for Overparameterized Models","created":"2022-09-19","cited_by_count":6,"area":null},{"id":"2305.16162","title":"Feature Collapse","created":"2023-05-25","cited_by_count":6,"area":null},{"id":"2507.04725","title":"Consistent Supervised-Unsupervised Alignment for Generalized Category Discovery","created":"2025-07-07","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":"2402.18884","title":"Supervised Contrastive Representation Learning: Landscape Analysis with Unconstrained Features","created":"2024-02-29","cited_by_count":5,"area":null},{"id":"2303.16066","title":"Neural Collapse Inspired Federated Learning with Non-iid Data","created":"2023-03-27","cited_by_count":4,"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":"2411.08937","title":"Dual-Head Knowledge Distillation: Enhancing Logits Utilization with an Auxiliary Head","created":"2024-11-13","cited_by_count":4,"area":"distill"},{"id":"2509.20829","title":"Explaining Grokking and Information Bottleneck through Neural Collapse Emergence","created":"2025-09-25","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":"2506.01562","title":"Unpacking Softmax: How Temperature Drives Representation Collapse, Compression, and Generalization","created":"2025-06-02","cited_by_count":3,"area":null},{"id":"2202.06467","title":"NeuroMixGDP: A Neural Collapse-Inspired Random Mixup for Private Data Release","created":"2022-02-14","cited_by_count":2,"area":null},{"id":"2206.05530","title":"Memorization-Dilation: Modeling Neural Collapse Under Label Noise","created":"2022-06-11","cited_by_count":2,"area":null},{"id":"2306.15955","title":"Understanding Prompt Tuning for V-L Models Through the Lens of Neural Collapse","created":"2023-06-28","cited_by_count":2,"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":"2410.03778","title":"SGW-based Multi-Task Learning in Vision Tasks","created":"2024-10-03","cited_by_count":2,"area":null},{"id":"2510.21078","title":"Neural Collapse under Gradient Flow on Shallow ReLU Networks for Orthogonally Separable Data","created":"2025-10-24","cited_by_count":2,"area":null},{"id":"2512.04006","title":"Diagonalizing the Softmax: Hadamard Initialization for Tractable Cross-Entropy Dynamics","created":"2025-12-03","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":"2409.17582","title":"Multiplicative Logit Adjustment Approximates Neural-Collapse-Aware Decision Boundary Adjustment","created":"2024-09-26","cited_by_count":1,"area":null},{"id":"2510.15751","title":"SAMix: Calibrated and Accurate Continual Learning via Sphere-Adaptive Mixup and Neural Collapse","created":"2025-10-17","cited_by_count":1,"area":null},{"id":"2512.00391","title":"From Coefficients to Directions: Rethinking Model Merging with Directional Alignment","created":"2025-11-29","cited_by_count":1,"area":null},{"id":"2602.16642","title":"Optimizer choice matters for the emergence of Neural Collapse","created":"2026-02-18","cited_by_count":1,"area":null},{"id":"2606.12488","title":"A Stationary (and Therefore Compatible) Representation is All You Need","created":"2026-06-10","cited_by_count":1,"area":null},{"id":"2407.10702","title":"Geometric Analysis of Unconstrained Feature Models with $d=K$","created":"2024-07-15","cited_by_count":0,"area":null},{"id":"2501.02198","title":"Fresh-CL: Feature Realignment through Experts on Hypersphere in Continual Learning","created":"2025-01-04","cited_by_count":0,"area":"moe"},{"id":"2504.18437","title":"Enhancing Pre-Trained Model-Based Class-Incremental Learning through Neural Collapse","created":"2025-04-25","cited_by_count":0,"area":null},{"id":"2505.11669","title":"OT Score: An OT based Confidence Score for Prototype-Assisted Source Free Unsupervised Domain Adaptation","created":"2025-05-16","cited_by_count":0,"area":null},{"id":"2602.08485","title":"Empirical Study of Observable Sets in Multiclass Quantum Classification","created":"2026-02-09","cited_by_count":0,"area":null},{"id":"2605.01897","title":"How Label Imbalance Shapes Geometry: A General Spectral Analysis of Multi-Label Neural Collapse","created":"2026-05-03","cited_by_count":0,"area":null},{"id":"2605.11939","title":"Cluster-Aware Neural Collapse Prompt Tuning for Long-Tailed Generalization of Vision-Language Models","created":"2026-05-12","cited_by_count":0,"area":"mllm"},{"id":"2605.17606","title":"The Neural Tangent Kernel for Classification","created":"2026-05-17","cited_by_count":0,"area":null},{"id":"2605.23087","title":"The Implicit Bias of Depth: From Neural Collapse to Softmax Codes","created":"2026-05-21","cited_by_count":0,"area":null}],"next_cursor":null}