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Learning Paradigms

2,054 papers (7 classified directly here)

Subtopics

Meta-Learning (973) Federated Learning (894) Curriculum Learning (202)

Papers per year

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Papers (including subtopics)

Counterfactual Task-augmented Meta-learning for Cold-start Sequential Recommendation AAAI 2025
Improving Complex Reasoning over Knowledge Graph with Logic-Aware Curriculum Tuning AAAI 2025
Federated Graph Condensation with Information Bottleneck Principles AAAI 2025
Curriculum Conditioned Diffusion for Multimodal Recommendation AAAI 2025
Multifaceted User Modeling in Recommendation: A Federated Foundation Models Approach AAAI 2025
Rethinking Byzantine Robustness in Federated Recommendation from Sparse Aggregation Perspective AAAI 2025
TRAIL: Trust-Aware Client Scheduling for Semi-Decentralized Federated Learning AAAI 2025
Paid with Models: Optimal Contract Design for Collaborative Machine Learning AAAI 2025
Breaking Data Silos in Parkinson’s Disease Diagnosis: An Adaptive Federated Learning Approach for Privacy-Preserving Facial Expression Analysis AAAI 2025
BrainGuard: Privacy-Preserving Multisubject Image Reconstructions from Brain Activities AAAI 2025
Evolutionary Reinforcement Learning with Parameterized Action Primitives for Diverse Manipulation Tasks AAAI 2025
Little Is Enough: Boosting Privacy by Sharing Only Hard Labels in Federated Semi-Supervised Learning AAAI 2025
EFSkip: A New Error Feedback with Linear Speedup for Compressed Federated Learning with Arbitrary Data Heterogeneity AAAI 2025
JEN-1 DreamStyler: Customized Musical Concept Learning via Pivotal Parameters Tuning AAAI 2025
Pseudo Informative Episode Construction for Few-Shot Class-Incremental Learning AAAI 2025
FedPop: Federated Population-based Hyperparameter Tuning AAAI 2025
Federated Foundation Models on Heterogeneous Time Series AAAI 2025
DualGFL: Federated Learning with a Dual-Level Coalition-Auction Game AAAI 2025
Rethinking the Starting Point: Collaborative Pre-Training for Federated Downstream Tasks AAAI 2025
Creating Coherence in Federated Non-Negative Matrix Factorization AAAI 2025
Federated Binary Matrix Factorization Using Proximal Optimization AAAI 2025
Learning to Generate Gradients for Test-Time Adaptation via Test-Time Training Layers AAAI 2025
Enhancing Online Reinforcement Learning with Meta-Learned Objective from Offline Data AAAI 2025
Attribute Inference Attacks for Federated Regression Tasks AAAI 2025
How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning? AAAI 2025