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)
Reinforce Trustworthiness in Multimodal Emotional Support System
AAAI 2026
RelightAnyone: A Generalized Relightable 3D Gaussian Head Model
CVPR 2026
Remedying Target-Domain Astigmatism for Cross-Domain Few-Shot Object Detection
CVPR 2026
Remembrall: Leaning into Memory for Accurate Video Analytics on System-on-Chip GPUs
NSDI 2026
REMISVFU: Vertical Federated Unlearning via Representation Misdirection for Intermediate Output Feature
AAAI 2026
Representation-Aware Prompting for Zero-Shot Marathi Text Classification: IPA, Romanization, Repetition
EACL 2026
ResGAT: A Residual Graph Attention Network for Cancer Subtype Classification in Whole Slide Images
MIDL 2026
Resolving the Stability-Plasticity Dilemma in Reinforcement Learning via Complementary Continual Critics
CVPR 2026
Retaliatory Attacks Against Federated Unlearning via Data Leakage
AAAI 2026
Rethinking Data Mixture for Large Language Models: A Comprehensive Survey and New Perspectives
EACL 2026
Rethinking Knowledge Transfer in Image Quality Assessment: A Perceptual Preference Structure Alignment Perspective
CVPR 2026
Rethinking Label Consistency of In-Context Learning: An Implicit Transductive Label Propagation Perspective
AAAI 2026
Rethinking Reading Order: Toward Generalizable Document Understanding with LLM-based Relation Modeling
EACL 2026
Rethink Representation Learning for Questionnaire Data
AAAI 2026
Retriever Encoder Selection Matters for In-Context Learning-based Medical Segmentation
AAAI 2026
Retrieving Counterfactuals Improves Visual In-Context Learning
CVPR 2026
REZE: Representation Regularization for Domain-adaptive Text Embedding Pre-finetuning
ACL 2026
RFKG-CoT: Relation-Driven Adaptive Hop-count Selection and Few-Shot Path Guidance for Knowledge-Aware QA
AAAI 2026
Ripple Shapley: Data Influence Attribution in One Federated Training Run
AAAI 2026
RL-Studio: A System for Multi-Phase Reinforcement Learning Experimentation
AAAI 2026
RMAdapter: Reconstruction-based Multi-Modal Adapter for Vision-Language Models
AAAI 2026
R-MMA: Enhancing Vision-Language Models with Recurrent Adapters for Few-Shot and Cross-Domain Generalization
WACV 2026
rMMEA: Robust Multi-Modal Entity Alignment with Missing and Noise Visual Modality
AAAI 2026
RNN as Linear Transformer: A Closer Investigation into Representational Potentials of Visual Mamba Models
CVPR 2026
RobuMTL: Enhancing Multi-Task Learning Robustness Against Weather Conditions
WACV 2026