Deep Learning

Feature learning from non-Gaussian inputs: the case of Independent Component Analysis in high dimensions ICML 2025 Feature Learning in Finite-Width Bayesian Deep Linear Networks with Multiple Outputs and Convolutional Layers JMLR 2025 Feature-Level and Spatial-Level Activation Expansion for Weakly-Supervised Semantic Segmentation WACV 2025 Feature-Mapping Topology Optimization with Neural Heaviside Signed Distance Functions ICML 2025 Feature out! Let Raw Image as Your Condition for Blind Face Restoration ICML 2025 Features are fate: a theory of transfer learning in high-dimensional regression ICML 2025 Feature Shift Localization Network ICML 2025 Feature Space Perturbation: A Panacea to Enhanced Transferability Estimation WACV 2025 Feature Spectrum Learning for Remote Sensing Change Detection CVPR 2025 Features that Make a Difference: Leveraging Gradients for Improved Dictionary Learning NAACL 2025 FE-CLIP: Frequency Enhanced CLIP Model for Zero-Shot Anomaly Detection and Segmentation ICCV 2025 FedAA: A Reinforcement Learning Perspective on Adaptive Aggregation for Fair and Robust Federated Learning AAAI 2025 FedAGC: Federated Continual Learning with Asymmetric Gradient Correction ICCV 2025 FedBG: Proactively Mitigating Bias in Cross-Domain Graph Federated Learning Using Background Data IJCAI 2025 FedBiP: Heterogeneous One-Shot Federated Learning with Personalized Latent Diffusion Models CVPR 2025 FedCALM: Conflict-aware Layer-wise Mitigation for Selective Aggregation in Deeper Personalized Federated Learning CVPR 2025 FeDCM: Federated Learning of Deep Causal Generative Models UAI 2025 Fed-DFA: Federated Distillation for Heterogeneous Model Fusion Through the Adversarial Lens AAAI 2025 FedDifRC: Unlocking the Potential of Text-to-Image Diffusion Models in Heterogeneous Federated Learning ICCV 2025 Federated Communication-Efficient Multi-Objective Optimization AISTATS 2025 Federated Disentangled Tuning with Textual Prior Decoupling and Visual Dynamic Adaptation ICML 2025 Federated Foundation Models on Heterogeneous Time Series AAAI 2025 Federated Graph Anomaly Detection Through Contrastive Learning with Global Negative Pairs AAAI 2025 Federated Graph Condensation with Information Bottleneck Principles AAAI 2025 Federated Graph-Level Clustering Network AAAI 2025