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)
Acquiring Bidirectionality via Large and Small Language Models
COLING 2025
A Cross-Modal Densely Guided Knowledge Distillation Based on Modality Rebalancing Strategy for Enhanced Unimodal Emotion Recognition
IJCAI 2025
Act2P: LLM-Driven Online Dialogue Act Classification for Power Analysis
ACL 2025
Activation Space Interventions Can Be Transferred Between Large Language Models
ICML 2025
Active Large Language Model-Based Knowledge Distillation for Session-Based Recommendation
AAAI 2025
Active Learning for Continual Learning: Keeping the Past Alive in the Present
ICLR 2025
Active Multimodal Distillation for Few-shot Action Recognition
IJCAI 2025
AdaMixT: Adaptive Weighted Mixture of Multi-Scale Expert Transformers for Time Series Forecasting
IJCAI 2025
AdaPrefix++: Integrating Adapters Prefixes and Hypernetwork for Continual Learning
WACV 2025
AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations
ACL 2025
Adapters Selector: Cross-domains and Multi-tasks LoRA Modules Integration Usage Method
COLING 2025
AdaptFlow: Adaptive Workflow Optimization via Meta-Learning
EMNLP 2025
Adapting by Analogy: OOD Generalization of Visuomotor Policies via Functional Correspondence
CoRL 2025
Adapting Falcon3-7B Language Model for Arabic: Methods, Challenges, and Outcomes
EMNLP 2025
Adapting In-Domain Few-Shot Segmentation to New Domains without Source Domain Retraining
ICCV 2025
Adapting Large Language Models for Movie Domain with Narrative Understanding Tasks
CoNLL 2025
Adapting to Non-Stationary Environments: Multi-Armed Bandit Enhanced Retrieval-Augmented Generation on Knowledge Graphs
AAAI 2025
Adapting to the Unknown: Training-Free Audio-Visual Event Perception with Dynamic Thresholds
CVPR 2025
Adapting While Learning: Grounding LLMs for Scientific Problems with Tool Usage Adaptation
ICML 2025
Adaptive Client Sampling in Federated Learning via Online Learning with Bandit Feedback
JMLR 2025
Adaptive Dataset Quantization
AAAI 2025
Adaptive Decision Boundary for Few-Shot Class-Incremental Learning
AAAI 2025
Adaptive Energy Alignment for Accelerating Test-Time Adaptation
ICLR 2025
Adaptive Few-shot Prompting for Machine Translation with Pre-trained Language Models
AAAI 2025
Adaptive Gradient Clipping for Robust Federated Learning
ICLR 2025