Learning Paradigms

Feed-Forward Latent Domain Adaptation WACV 2024 Ferrari: Federated Feature Unlearning via Optimizing Feature Sensitivity NeurIPS 2024 Fine-Grained Prototypes Distillation for Few-Shot Object Detection AAAI 2024 First-Explore, then Exploit: Meta-Learning to Solve Hard Exploration-Exploitation Trade-Offs NeurIPS 2024 First-order ANIL provably learns representations despite overparametrisation ICLR 2024 First-Order Minimax Bilevel Optimization NeurIPS 2024 Fisher Information-based Efficient Curriculum Federated Learning with Large Language Models EMNLP 2024 (FL)$^2$: Overcoming Few Labels in Federated Semi-Supervised Learning NeurIPS 2024 FLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous Low-Rank Adaptations NeurIPS 2024 FLORA: Fine-Grained Low-Rank Architecture Search for Vision Transformer WACV 2024 Foreseeing Reconstruction Quality of Gradient Inversion: An Optimization Perspective AAAI 2024 Formal Logic Enabled Personalized Federated Learning through Property Inference AAAI 2024 FREE: Faster and Better Data-Free Meta-Learning CVPR 2024 Free-Rider and Conflict Aware Collaboration Formation for Cross-Silo Federated Learning NeurIPS 2024 From Instance Training to Instruction Learning: Task Adapters Generation from Instructions NeurIPS 2024 From Optimization to Generalization: Fair Federated Learning against Quality Shift via Inter-Client Sharpness Matching IJCAI 2024 FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion NeurIPS 2024 Generalizable Task Representation Learning for Offline Meta-Reinforcement Learning with Data Limitations AAAI 2024 Gradient Coreset for Federated Learning WACV 2024 GRADUAL: Granularity-aware Dual Prototype Learning for Better Few-Shot Relation Extraction ACL 2024 Hacking Task Confounder in Meta-Learning IJCAI 2024 HEPrune: Fast Private Training of Deep Neural Networks With Encrypted Data Pruning NeurIPS 2024 Heterogeneity-aware Clustered Distributed Learning for Multi-source Data Analysis JMLR 2024 Heterogeneity-Guided Client Sampling: Towards Fast and Efficient Non-IID Federated Learning NeurIPS 2024 Heterogeneous LoRA for Federated Fine-tuning of On-Device Foundation Models EMNLP 2024