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feature space

254 papers

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representation learning (24) domain adaptation (18) feature learning (17) neural network (16) contrastive learning (16) convolutional neural network (13) kernel methods (13) data augmentation (13) transfer learning (13) semantic segmentation (12)

Papers

Classifier-induced Reciprocal Points for Multi-label Open-set Recognition AAAI 2026 DreamCatcher: Efficient Multi-Concept Customization via Representation Finetuning WACV 2026 Ellipsoid-Based Decision Boundaries for Open Intent Classification AAAI 2026 ImageBindDC: Compressing Multi-modal Data with ImageBind-based Condensation AAAI 2026 S2-Boost: Synergistic Semantic Boosting for Coarse-to-Fine Ensemble Learning AAAI 2026 Split-Layer: Enhancing Implicit Neural Representation by Maximizing the Dimensionality of Feature Space AAAI 2026 Tabular Learnwares Can Be Repurposed for Seemingly Irrelevant New Tasks AAAI 2026 A4A: Adapter for Adapter Transfer via All-for-All Mapping for Cross-Architecture Models CVPR 2025 A Tiny Change, A Giant Leap: Long-Tailed Class-Incremental Learning via Geometric Prototype Alignment ICCV 2025 Attraction Diminishing and Distributing for Few-Shot Class-Incremental Learning CVPR 2025 BGDB: Bernoulli-Gaussian Decision Block with Improved Denoising Diffusion Probabilistic Models AAAI 2025 Controlling Neural Collapse Enhances Out-of-Distribution Detection and Transfer Learning ICML 2025 Covariance-Based Space Regularization for Few-Shot Class Incremental Learning WACV 2025 Dynamic and Adaptive Feature Generation with LLM IJCAI 2025 ESC: Erasing Space Concept for Knowledge Deletion CVPR 2025 FedCS: Coreset Selection for Federated Learning CVPR 2025 G2SF: Geometry-Guided Score Fusion for Multimodal Industrial Anomaly Detection ICCV 2025 GBRIP: Granular Ball Representation for Imbalanced Partial Label Learning AAAI 2025 Geometry of Long-Tailed Representation Learning: Rebalancing Features for Skewed Distributions ICLR 2025 Handling Spatial-Temporal Data Heterogeneity for Federated Continual Learning via Tail Anchor CVPR 2025 Hierarchical Features Matter: A Deep Exploration of Progressive Parameterization Method for Dataset Distillation CVPR 2025 Improving Deep Regression with Tightness ICLR 2025 Let Samples Speak: Mitigating Spurious Correlation by Exploiting the Clusterness of Samples CVPR 2025 Looking at Model Debiasing through the Lens of Anomaly Detection WACV 2025 Looking in the Mirror: A Faithful Counterfactual Explanation Method for Interpreting Deep Image Classification Models ICCV 2025