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
2
4
12
24
14
20
29
31
32
66
53
67
103
206
482
852
1,124
1,566
1,867
2,410
2,658
2,486
856
'5
'10
'15
'20
'25
Papers (including subtopics)
Federated Learning for Data Streams
AISTATS 2023
Federated Learning for Secure Development of AI Models for Parkinson’s Disease Detection Using Speech from Different Languages
Interspeech 2023
Federated Learning for Semantic Parsing: Task Formulation, Evaluation Setup, New Algorithms
ACL 2023
Federated Learning from Small Datasets
ICLR 2023
Federated Learning of Gboard Language Models with Differential Privacy
ACL 2023
Federated Learning of Large Language Models with Parameter-Efficient Prompt Tuning and Adaptive Optimization
EMNLP 2023
Federated learning of models pre-trained on different features with consensus graphs
UAI 2023
Federated Learning on Non-IID Graphs via Structural Knowledge Sharing
AAAI 2023
Federated Learning Over Images: Vertical Decompositions and Pre-Trained Backbones Are Difficult to Beat
ICCV 2023
Federated Learning Toolkit with Voice-based User Verification Demo
Interspeech 2023
Federated Learning under Distributed Concept Drift
AISTATS 2023
Federated Learning via Meta-Variational Dropout
NeurIPS 2023
Federated Learning with Bilateral Curation for Partially Class-Disjoint Data
NeurIPS 2023
Federated Learning with Client Subsampling, Data Heterogeneity, and Unbounded Smoothness: A New Algorithm and Lower Bounds
NeurIPS 2023
Federated Learning With Data-Agnostic Distribution Fusion
CVPR 2023
Federated Learning with Manifold Regularization and Normalized Update Reaggregation
NeurIPS 2023
Federated Learning with Uncertainty via Distilled Predictive Distributions
ACML 2023
Federated Linear Bandits with Finite Adversarial Actions
NeurIPS 2023
Federated Linear Contextual Bandits with User-level Differential Privacy
ICML 2023
Federated Multi-Objective Learning
NeurIPS 2023
Federated Neural Bandits
ICLR 2023
Federated Online and Bandit Convex Optimization
ICML 2023
Federated Probabilistic Preference Distribution Modelling with Compactness Co-Clustering for Privacy-Preserving Multi-Domain Recommendation
IJCAI 2023
Federated Robustness Propagation: Sharing Adversarial Robustness in Heterogeneous Federated Learning
AAAI 2023
Federated Spectral Clustering via Secure Similarity Reconstruction
NeurIPS 2023