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)
Leveraging High-Resource English Corpora for Cross-lingual Domain Adaptation in Low-Resource Japanese Medicine via Continued Pre-training
EMNLP 2025
Leveraging Information Retrieval to Enhance Spoken Language Understanding Prompts in Few-Shot Learning
Interspeech 2025
Leveraging Large Language Models for Node Generation in Few-Shot Learning on Text-Attributed Graphs
AAAI 2025
Leveraging Loanword Constraints for Improving Machine Translation in a Low-Resource Multilingual Context
EMNLP 2025
Leveraging Multilingual Training for Authorship Representation: Enhancing Generalization across Languages and Domains
EMNLP 2025
Leveraging Temporal Cues for Semi-Supervised Multi-View 3D Object Detection
CVPR 2025
Leveraging Text-to-Text Transformers as Classifier Chain for Few-Shot Multi-Label Classification
EMNLP 2025
Leveraging the Power of Large Language Models in Entity Linking via Adaptive Routing and Targeted Reasoning
EMNLP 2025
Leveraging Vision Language Models for Specialized Agricultural Tasks
WACV 2025
LiCamPose: Combining Multi-View LiDAR and RGB Cameras for Robust Single-Timestamp 3D Human Pose Estimation
WACV 2025
LiD-FL: Towards List-Decodable Federated Learning
AAAI 2025
Lift3D Policy: Lifting 2D Foundation Models for Robust 3D Robotic Manipulation
CVPR 2025
LIFT: Latent Implicit Functions for Task- and Data-Agnostic Encoding
ICCV 2025
LiFT: Learning to Fine-Tune via Bayesian Parameter Efficient Meta Fine-Tuning
ICLR 2025
Light-R1: Curriculum SFT, DPO and RL for Long COT from Scratch and Beyond
ACL 2025
Lightspeed Geometric Dataset Distance via Sliced Optimal Transport
ICML 2025
Lightweight Yet Fine-Grained: A Graph Capsule Convolutional Network with Subspace Alignment for Shared-Account Sequential Recommendation
AAAI 2025
Linguistic Neuron Overlap Patterns to Facilitate Cross-lingual Transfer on Low-resource Languages
EMNLP 2025
LiPO: Listwise Preference Optimization through Learning-to-Rank
NAACL 2025
Listen to the Context: Towards Faithful Large Language Models for Retrieval Augmented Generation on Climate Questions
ACL 2025
Little Giants: Synthesizing High-Quality Embedding Data at Scale
NAACL 2025
Little Is Enough: Boosting Privacy by Sharing Only Hard Labels in Federated Semi-Supervised Learning
AAAI 2025
Little Martians: From Desert Clay to Generative Agents
NeurIPS 2025
LlamaDuo: LLMOps Pipeline for Seamless Migration from Service LLMs to Small-Scale Local LLMs
ACL 2025
LLaRA: Supercharging Robot Learning Data for Vision-Language Policy
ICLR 2025