Learning Paradigms

Meta-Learning for Color-to-Infrared Cross-Modal Style Transfer WACV 2025 Meta-learning from Heterogeneous Tensors for Few-shot Tensor Completion AISTATS 2025 Meta-Learning Hyperparameters for Parameter Efficient Fine-Tuning CVPR 2025 Meta-learning Task-specific Regularization Weights for Few-shot Linear Regression AISTATS 2025 MetaMixSpeech: Meta Task Augmentation for Low-Resource Speech Recognition EMNLP 2025 MetaNeRV: Meta Neural Representations for Videos with Spatial-Temporal Guidance AAAI 2025 Meta-Pretraining for Zero-Shot Cross-Lingual Named Entity Recognition in Low-Resource Philippine Languages EMNLP 2025 MetaSynth: Meta-Prompting-Driven Agentic Scaffolds for Diverse Synthetic Data Generation ACL 2025 MetaVIn: Meteorological and Visual Integration for Atmospheric Turbulence Strength Estimation WACV 2025 MetaWriter: Personalized Handwritten Text Recognition Using Meta-Learned Prompt Tuning CVPR 2025 MFL-Owner: Ownership Protection for Multi-modal Federated Learning via Orthogonal Transform Watermark AAAI 2025 Mind the Cost of Scaffold! Benign Clients May Even Become Accomplices of Backdoor Attack ICCV 2025 Mind the Gap: Confidence Discrepancy Can Guide Federated Semi-Supervised Learning Across Pseudo-Mismatch CVPR 2025 Mitigating the Backdoor Effect for Multi-Task Model Merging via Safety-Aware Subspace ICLR 2025 Mixtures of In-Context Learners ACL 2025 MMGIA: Gradient Inversion Attack Against Multimodal Federated Learning via Intermodal Correlation IJCAI 2025 Modeling Inter-Intra Heterogeneity for Graph Federated Learning AAAI 2025 Model Poisoning Attacks to Federated Learning via Multi-Round Consistency CVPR 2025 Model Rake: A Defense Against Stealing Attacks in Split Learning IJCAI 2025 MTSE: Multi-Target Speaker Extraction for Conversation Scenarios Interspeech 2025 Multifaceted User Modeling in Recommendation: A Federated Foundation Models Approach AAAI 2025 Multimodal Fusion Using Multi-View Domains for Data Heterogeneity in Federated Learning AAAI 2025 MultiProp Framework: Ensemble Models for Enhanced Cross-Lingual Propaganda Detection in Social Media and News using Data Augmentation, Text Segmentation, and Meta-Learning COLING 2025 MultiSFL: Towards Accurate Split Federated Learning via Multi-Model Aggregation and Knowledge Replay AAAI 2025 Naturalness-Aware Curriculum Learning with Dynamic Temperature for Speech Deepfake Detection Interspeech 2025