classifier weight

GOAL: Geometrically Optimal Alignment for Continual Generalized Category Discovery AAAI 2026 Space Alignment Matters: The Missing Piece for Inducing Neural Collapse in Long-Tailed Learning AAAI 2026 Connecting Giants: Synergistic Knowledge Transfer of Large Multimodal Models for Few-Shot Learning IJCAI 2025 EvoCL: Continual Learning over Evolving Domains WACV 2025 Expanding the Category of Classifiers with LLM Supervision IJCAI 2025 Out-of-Distribution Detection with Prototypical Outlier Proxy AAAI 2025 Generalized Neural Collapse for a Large Number of Classes ICML 2024 Guiding Neural Collapse: Optimising Towards the Nearest Simplex Equiangular Tight Frame NeurIPS 2024 Neural Collapse To Multiple Centers For Imbalanced Data NeurIPS 2024 Understanding Representation of Deep Equilibrium Models from Neural Collapse Perspective NeurIPS 2024 Weight Diffusion for Future: Learn to Generalize in Non-Stationary Environments NeurIPS 2024 Inducing Neural Collapse to a Fixed Hierarchy-Aware Frame for Reducing Mistake Severity ICCV 2023 Understanding Imbalanced Semantic Segmentation Through Neural Collapse CVPR 2023 Imbalance Trouble: Revisiting Neural-Collapse Geometry NeurIPS 2022 TransMatch: A Transfer-Learning Scheme for Semi-Supervised Few-Shot Learning CVPR 2020