Learning Paradigms

Parameterizing Non-Parametric Meta-Reinforcement Learning Tasks via Subtask Decomposition NeurIPS 2023 PateGail: A Privacy-Preserving Mobility Trajectory Generator with Imitation Learning AAAI 2023 Personalized Federated Learning under Mixture of Distributions ICML 2023 Personalized Federated Learning with Inferred Collaboration Graphs ICML 2023 Personalized Subgraph Federated Learning ICML 2023 PGFed: Personalize Each Client's Global Objective for Federated Learning ICCV 2023 Poisoning with Cerberus: Stealthy and Colluded Backdoor Attack against Federated Learning AAAI 2023 PPGenCDR: A Stable and Robust Framework for Privacy-Preserving Cross-Domain Recommendation AAAI 2023 Principled Acceleration of Iterative Numerical Methods Using Machine Learning ICML 2023 PRIOR: Personalized Prior for Reactivating the Information Overlooked in Federated Learning. NeurIPS 2023 Privacy-Aware Compression for Federated Learning Through Numerical Mechanism Design ICML 2023 Private Federated Frequency Estimation: Adapting to the Hardness of the Instance NeurIPS 2023 Private Federated Learning with Autotuned Compression ICML 2023 Private Non-Convex Federated Learning Without a Trusted Server AISTATS 2023 ProtoDiff: Learning to Learn Prototypical Networks by Task-Guided Diffusion NeurIPS 2023 Provable Advantage of Curriculum Learning on Parity Targets with Mixed Inputs NeurIPS 2023 Pruning-Guided Curriculum Learning for Semi-Supervised Semantic Segmentation WACV 2023 PTADisc: A Cross-Course Dataset Supporting Personalized Learning in Cold-Start Scenarios NeurIPS 2023 RACE: Improve Multi-Agent Reinforcement Learning with Representation Asymmetry and Collaborative Evolution ICML 2023 Reconstructing Training Data from Model Gradient, Provably AISTATS 2023 Reducing Training Time in Cross-Silo Federated Learning Using Multigraph Topology ICCV 2023 Regularisation for Efficient Softmax Parameter Generation in Low-Resource Text Classifiers IJCAI 2023 Re-Thinking Federated Active Learning Based on Inter-Class Diversity CVPR 2023 Revisiting Logistic-softmax Likelihood in Bayesian Meta-Learning for Few-Shot Classification NeurIPS 2023 Revisiting Weighted Aggregation in Federated Learning with Neural Networks ICML 2023