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

3

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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)

FCOM: A Federated Collaborative Online Monitoring Framework via Representation Learning AAAI 2025 FDPT: Federated Discrete Prompt Tuning for Black-Box Visual-Language Models ICCV 2025 Feasibility of Federated Learning from Client Databases with Different Brain Diseases and MRI Modalities WACV 2025 Feature Decomposition-Recomposition in Large Vision-Language Model for Few-Shot Class-Incremental Learning ICCV 2025 Features are fate: a theory of transfer learning in high-dimensional regression ICML 2025 Feature Space Perturbation: A Panacea to Enhanced Transferability Estimation WACV 2025 FedAA: A Reinforcement Learning Perspective on Adaptive Aggregation for Fair and Robust Federated Learning AAAI 2025 FedAPA: Server-side Gradient-Based Adaptive Personalized Aggregation for Federated Learning on Heterogeneous Data IJCAI 2025 FedAWA: Adaptive Optimization of Aggregation Weights in Federated Learning Using Client Vectors CVPR 2025 FedBaF: Federated Learning Aggregation Biased by a Foundation Model AISTATS 2025 FedCALM: Conflict-aware Layer-wise Mitigation for Selective Aggregation in Deeper Personalized Federated Learning CVPR 2025 FedCCH: Automatic Personalized Graph Federated Learning for Inter-Client and Intra-Client Heterogeneity IJCAI 2025 FedCFA: Alleviating Simpson’s Paradox in Model Aggregation with Counterfactual Federated Learning AAAI 2025 FedCM: Client Clustering and Migration in Federated Learning via Gradient Path Similarity and Update Direction Deviation IJCAI 2025 FedCoT: Federated Chain-of-Thought Distillation for Large Language Models EMNLP 2025 FedCPD:Personalized Federated Learning with Prototype-Enhanced Representation and Memory Distillation IJCAI 2025 FedCross: Intertemporal Federated Learning Under Evolutionary Games AAAI 2025 FedCS: Coreset Selection for Federated Learning CVPR 2025 FedCSR: A Federated Framework for Multi-Platform Cross-Domain Sequential Recommendation with Dual Contrastive Learning COLING 2025 Fed-DFA: Federated Distillation for Heterogeneous Model Fusion Through the Adversarial Lens AAAI 2025 FedDLAD: A Federated Learning Dual-Layer Anomaly Detection Framework for Enhancing Resilience Against Backdoor Attacks IJCAI 2025 Federated Binary Matrix Factorization Using Proximal Optimization AAAI 2025 Federated Causal Inference: Multi-Study ATE Estimation beyond Meta-Analysis AISTATS 2025 Federated Causally Invariant Feature Learning AAAI 2025 Federated-Continual Dynamic Segmentation of Histopathology Guided by Barlow Continuity WACV 2025