conftrace_

Learning Paradigms

14,967 papers (9 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Transfer Learning (8,172) Few-Shot Learning (2,681) Meta-Learning (1,719) Federated Learning (1,560) Zero-Shot Learning (878) Continual Learning (189) Domain Adaptation (184) Self-Supervised Learning (158) Active Learning (154) Multi-Task Learning (145) Semi-Supervised Learning (86) In-Context Learning (53) Unsupervised Learning (53) Domain Generalization (26) Weakly Supervised Learning (23)

Papers per year

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12

24

14

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32

66

53

67

103

206

482

852

1,124

1,566

1,867

2,410

2,658

2,486

856

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Papers (including subtopics)

Federated Wasserstein Distance ICLR 2024 FedES: Federated Early-Stopping for Hindering Memorizing Heterogeneous Label Noise IJCAI 2024 FedFa: A Fully Asynchronous Training Paradigm for Federated Learning IJCAI 2024 FedFisher: Leveraging Fisher Information for One-Shot Federated Learning AISTATS 2024 FedGCS: A Generative Framework for Efficient Client Selection in Federated Learning via Gradient-based Optimization IJCAI 2024 FedGMKD: An Efficient Prototype Federated Learning Framework through Knowledge Distillation and Discrepancy-Aware Aggregation NeurIPS 2024 FedGTST: Boosting Global Transferability of Federated Models via Statistics Tuning NeurIPS 2024 FedHCA2: Towards Hetero-Client Federated Multi-Task Learning CVPR 2024 FedHyper: A Universal and Robust Learning Rate Scheduler for Federated Learning with Hypergradient Descent ICLR 2024 FedImpro: Measuring and Improving Client Update in Federated Learning ICLR 2024 FedInverse: Evaluating Privacy Leakage in Federated Learning ICLR 2024 FEDKIM: Adaptive Federated Knowledge Injection into Medical Foundation Models EMNLP 2024 FedLFC: Towards Efficient Federated Multilingual Modeling with LoRA-based Language Family Clustering NAACL 2024 FedLLM-Bench: Realistic Benchmarks for Federated Learning of Large Language Models NeurIPS 2024 FedLoGe: Joint Local and Generic Federated Learning under Long-tailed Data ICLR 2024 FedLPA: One-shot Federated Learning with Layer-Wise Posterior Aggregation NeurIPS 2024 FedMef: Towards Memory-efficient Federated Dynamic Pruning CVPR 2024 FedNE: Surrogate-Assisted Federated Neighbor Embedding for Dimensionality Reduction NeurIPS 2024 FedP3: Federated Personalized and Privacy-friendly Network Pruning under Model Heterogeneity ICLR 2024 FedPFT: Federated Proxy Fine-Tuning of Foundation Models IJCAI 2024 FedSelect: Personalized Federated Learning with Customized Selection of Parameters for Fine-Tuning CVPR 2024 FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in Federated Learning CVPR 2024 FedSSA: Semantic Similarity-based Aggregation for Efficient Model-Heterogeneous Personalized Federated Learning IJCAI 2024 FedSSP: Federated Graph Learning with Spectral Knowledge and Personalized Preference NeurIPS 2024 FedST: Federated Style Transfer Learning for Non-IID Image Segmentation AAAI 2024