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)
One-Minute Video Generation with Test-Time Training
CVPR 2025
One-shot 3D Object Canonicalization based on Geometric and Semantic Consistency
CVPR 2025
OnlineAnySeg: Online Zero-Shot 3D Segmentation by Visual Foundation Model Guided 2D Mask Merging
CVPR 2025
On Linear Representations and Pretraining Data Frequency in Language Models
ICLR 2025
Online-LoRA: Task-Free Online Continual Learning via Low Rank Adaptation
WACV 2025
On LLM-Based Scientific Inductive Reasoning Beyond Equations
EMNLP 2025
On the Byzantine-Resilience of Distillation-Based Federated Learning
ICLR 2025
On the Consistent Recovery of Joint Distributions from Conditionals
AISTATS 2025
On the Convergence of Continual Federated Learning Using Incrementally Aggregated Gradients
AISTATS 2025
On the Effectiveness of Prompt-Moderated LLMs for Math Tutoring at the Tertiary Level
EMNLP 2025
On the Generalization of Handwritten Text Recognition Models
CVPR 2025
On the Importance of Language-driven Representation Learning for Heterogeneous Federated Learning
ICLR 2025
On the Learn-to-Optimize Capabilities of Transformers in In-Context Sparse Recovery
ICLR 2025
On the Linear Speedup of Personalized Federated Reinforcement Learning with Shared Representations
ICLR 2025
On the Modeling Capabilities of Large Language Models for Sequential Decision Making
ICLR 2025
On the Out-Of-Distribution Generalization of Large Multimodal Models
CVPR 2025
On the Power of Adaptive Weighted Aggregation in Heterogeneous Federated Learning and Beyond
AISTATS 2025
On the Power of Context-Enhanced Learning in LLMs
ICML 2025
On the Provable Separation of Scales in Maximal Update Parameterization
ICML 2025
On the Robustness of Distributed Machine Learning Against Transfer Attacks
AAAI 2025
On the Role of Context for Discourse Relation Classification in Scientific Writing
EMNLP 2025
On the Role of Entity and Event Level Conceptualization in Generalizable Reasoning: A Survey of Tasks, Methods, Applications, and Future Directions
EMNLP 2025
On the Transfer of Object-Centric Representation Learning
ICLR 2025
OpenBioNER: Lightweight Open-Domain Biomedical Named Entity Recognition Through Entity Type Description
NAACL 2025
OpenCapBench: A Benchmark to Bridge Pose Estimation and Biomechanics
WACV 2025