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)
Fedstellar: A Platform for Training Models in a Privacy-preserving and Decentralized Fashion
IJCAI 2023
FedSysID: A Federated Approach to Sample-Efficient System Identification
L4DC 2023
FedTherapist: Mental Health Monitoring with User-Generated Linguistic Expressions on Smartphones via Federated Learning
EMNLP 2023
FedVS: Straggler-Resilient and Privacy-Preserving Vertical Federated Learning for Split Models
ICML 2023
FeDXL: Provable Federated Learning for Deep X-Risk Optimization
ICML 2023
FeTrIL: Feature Translation for Exemplar-Free Class-Incremental Learning
WACV 2023
Few-Shot 3D Point Cloud Semantic Segmentation via Stratified Class-Specific Attention Based Transformer Network
AAAI 2023
Few-shot Adaptation for Manipulating Granular Materials Under Domain Shift
RSS 2023
Few-shot Adaptation Works with UnpredicTable Data
ACL 2023
Few-shot Classification via Ensemble Learning with Multi-Order Statistics
IJCAI 2023
Few-shot Classification with Hypersphere Modeling of Prototypes
ACL 2023
Few-shot Class-incremental Audio Classification Using Adaptively-refined Prototypes
Interspeech 2023
Few-shot Class-incremental Audio Classification Using Stochastic Classifier
Interspeech 2023
Few-Shot Class-Incremental Learning via Class-Aware Bilateral Distillation
CVPR 2023
Few-Shot Class-Incremental Learning via Training-Free Prototype Calibration
NeurIPS 2023
Few-Shot Common Action Localization via Cross-Attentional Fusion of Context and Temporal Dynamics
ICCV 2023
Few-Shot Composition Learning for Image Retrieval with Prompt Tuning
AAAI 2023
Few-Shot Dataset Distillation via Translative Pre-Training
ICCV 2023
Few-Shot Data-to-Text Generation via Unified Representation and Multi-Source Learning
ACL 2023
Few-Shot Domain Adaptation For End-to-End Communication
ICLR 2023
Few-shot Event Detection: An Empirical Study and a Unified View
ACL 2023
Few-shot Fine-tuning vs. In-context Learning: A Fair Comparison and Evaluation
ACL 2023
Few Shot Hematopoietic Cell Classification
MIDL 2023
Few-Shot In-Context Imitation Learning via Implicit Graph Alignment
CoRL 2023
Few-shot In-context Learning on Knowledge Base Question Answering
ACL 2023