{"total":23,"rows":[{"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":"2206.04041","title":"Neural Collapse: A Review on Modelling Principles and Generalization","created":"2022-06-08","cited_by_count":95,"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":"2210.06443","title":"On the Effectiveness of Lipschitz-Driven Rehearsal in Continual Learning","created":"2022-10-12","cited_by_count":39,"area":null},{"id":"2111.07632","title":"CoReS: Compatible Representations via Stationarity","created":"2021-11-15","cited_by_count":14,"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":"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":"2303.05689","title":"Inducing Neural Collapse to a Fixed Hierarchy-Aware Frame for Reducing Mistake Severity","created":"2023-03-10","cited_by_count":13,"area":null},{"id":"2405.02581","title":"Stationary Representations: Optimally Approximating Compatibility and Implications for Improved Model Replacements","created":"2024-05-04","cited_by_count":8,"area":null},{"id":"2402.06171","title":"Pushing Boundaries: Mixup's Influence on Neural Collapse","created":"2024-02-09","cited_by_count":7,"area":null},{"id":"2211.09032","title":"CL2R: Compatible Lifelong Learning Representations","created":"2022-11-16","cited_by_count":6,"area":null},{"id":"2110.05848","title":"Fine-Grained Adversarial Semi-supervised Learning","created":"2021-10-12","cited_by_count":4,"area":null},{"id":"2310.09449","title":"Pairwise Similarity Learning is SimPLE","created":"2023-10-13","cited_by_count":4,"area":null},{"id":"2205.05476","title":"Contrastive Supervised Distillation for Continual Representation Learning","created":"2022-05-11","cited_by_count":3,"area":null},{"id":"2408.08793","title":"Backward-Compatible Aligned Representations via an Orthogonal Transformation Layer","created":"2024-08-16","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":"2304.04546","title":"Kinship Representation Learning with Face Componential Relation","created":"2023-04-10","cited_by_count":2,"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":"2601.01679","title":"Simplex Deep Linear Discriminant Analysis","created":"2026-01-04","cited_by_count":0,"area":null},{"id":"2605.18224","title":"RST: certifying and constructing prescribed information in variational autoencoders","created":"2026-05-18","cited_by_count":0,"area":null},{"id":"2607.12916","title":"Contrastive-Collapsed Loss for Flexible and Geometrically Optimal Embeddings and Faster Convergence","created":"2026-07-14","cited_by_count":0,"area":null},{"id":"2607.18343","title":"Federated Lightweight Fine-Tuning","created":"2026-07-20","cited_by_count":0,"area":null}],"next_cursor":null}