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)
FedCC: Federated Learning with Consensus Confirmation for Byzantine Attack Resistance (Student Abstract)
AAAI 2022
FedCG: Leverage Conditional GAN for Protecting Privacy and Maintaining Competitive Performance in Federated Learning
IJCAI 2022
FedChain: Chained Algorithms for Near-optimal Communication Cost in Federated Learning
ICLR 2022
FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning
CVPR 2022
FedCorr: Multi-Stage Federated Learning for Label Noise Correction
CVPR 2022
FedDUAP: Federated Learning with Dynamic Update and Adaptive Pruning Using Shared Data on the Server
IJCAI 2022
Federated Class-Incremental Learning
CVPR 2022
Federated Continual Learning for Text Classification via Selective Inter-client Transfer
EMNLP 2022
Federated Domain Adaptation for ASR with Full Self-Supervision
Interspeech 2022
Federated Dynamic Sparse Training: Computing Less, Communicating Less, Yet Learning Better
AAAI 2022
Federated Functional Gradient Boosting
AISTATS 2022
Federated Learning from Only Unlabeled Data with Class-conditional-sharing Clients
ICLR 2022
Federated Learning from Pre-Trained Models: A Contrastive Learning Approach
NeurIPS 2022
Federated Learning on Heterogeneous and Long-Tailed Data via Classifier Re-Training with Federated Features
IJCAI 2022
Federated Learning with Buffered Asynchronous Aggregation
AISTATS 2022
Federated Learning with Label Distribution Skew via Logits Calibration
ICML 2022
Federated Learning with Partial Model Personalization
ICML 2022
Federated Learning With Position-Aware Neurons
CVPR 2022
Federated Learning with Positive and Unlabeled Data
ICML 2022
Federated Minimax Optimization: Improved Convergence Analyses and Algorithms
ICML 2022
Federated Model Decomposition with Private Vocabulary for Text Classification
EMNLP 2022
Federated Multi-Target Domain Adaptation
WACV 2022
Federated Nearest Neighbor Classification with a Colony of Fruit-Flies
AAAI 2022
Federated online clustering of bandits
UAI 2022
Federated Reinforcement Learning: Linear Speedup Under Markovian Sampling
ICML 2022