feature learning

From Linearity to Non-Linearity: How Masked Autoencoders Capture Spatial Correlations ICCV 2025 Fundamental computational limits of weak learnability in high-dimensional multi-index models AISTATS 2025 GBRIP: Granular Ball Representation for Imbalanced Partial Label Learning AAAI 2025 GeoDistill: Geometry-Guided Self-Distillation for Weakly Supervised Cross-View Localization ICCV 2025 Granular Concept Circuits: Toward a Fine-Grained Circuit Discovery for Concept Representations ICCV 2025 Guided Real Image Dehazing Using YCbCr Color Space AAAI 2025 Hierarchical Classification Auxiliary Network for Time Series Forecasting AAAI 2025 Hierarchical Features Matter: A Deep Exploration of Progressive Parameterization Method for Dataset Distillation CVPR 2025 How Feature Learning Can Improve Neural Scaling Laws ICLR 2025 How Gradient descent balances features: A dynamical analysis for two-layer neural networks ICLR 2025 How Not to Stitch Representations to Measure Similarity: Task Loss Matching Versus Direct Matching AAAI 2025 HybridReg: Robust 3D Point Cloud Registration with Hybrid Motions AAAI 2025 IDEA: Inverted Text with Cooperative Deformable Aggregation for Multi-modal Object Re-Identification CVPR 2025 Improve Representation for Imbalanced Regression through Geometric Constraints CVPR 2025 Integrating Semantic and Statistical Features for Authorial Clustering of Qumran Scrolls NAACL 2025 Intervening in Black Box: Concept Bottleneck Model for Enhancing Human Neural Network Mutual Understanding ICCV 2025 IsiZulu noun classification based on replicating the ensemble approach for Runyankore COLING 2025 Learnable Feature Patches and Vectors for Boosting Low-light Image Enhancement without External Knowledge ICCV 2025 Learning a Single Index Model from Anisotropic Data with Vanilla Stochastic Gradient Descent AISTATS 2025 Learning Deep Illumination-Robust Features from Multispectral Filter Array Images WACV 2025 Learning Interpretable Features from Interventions RSS 2025 Learning Multi-Index Models with Neural Networks via Mean-Field Langevin Dynamics ICLR 2025 Let Samples Speak: Mitigating Spurious Correlation by Exploiting the Clusterness of Samples CVPR 2025 Linguistic and Embedding-Based Profiling of Texts Generated by Humans and Large Language Models EMNLP 2025 Link-based Contrastive Learning for One-Shot Unsupervised Domain Adaptation CVPR 2025