Learning Types
32,670 papers (1 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Representation Learning (5,307)
Multimodal Learning (3,969)
Self-Supervised Learning (3,492)
Transfer Learning (2,890)
Adversarial Learning (2,199)
Deep Learning (1,883)
Contrastive Learning (1,730)
Reinforcement Learning (1,500)
Knowledge Distillation (1,494)
Fine-Tuning (1,117)
Multi-Task Learning (1,069)
Domain Adaptation (977)
Zero-Shot Learning (758)
Unsupervised Learning (734)
Few-Shot Learning (694)
Classification (621)
Retrieval-Augmented Generation (606)
Data Augmentation (583)
Semi-Supervised Learning (450)
Weakly Supervised Learning (429)
Continual Learning (408)
In-Context Learning (387)
Sequence Modeling (375)
Meta-Learning (252)
Metric Learning (232)
Ensemble Learning (223)
Federated Learning (215)
Multi-Lingual Learning (199)
Robustness (197)
Parameter-Efficient Fine-Tuning (190)
Imitation Learning (180)
Prompt Engineering (170)
Chain-of-Thought Reasoning (153)
Curriculum Learning (146)
Synthetic Data Generation (143)
Reinforcement Learning from Human Feedback (141)
Multi-Label Classification (123)
Regression (117)
Generative Model (109)
Semantic Segmentation (106)
Domain Generalization (105)
Uncertainty Quantification (98)
Controllable Generation (93)
Text Generation (86)
Neural Architecture Search (80)
Object Detection (80)
Image Generation (79)
Multi-Agent Systems (76)
Feature Learning (74)
Preference Learning (73)
Machine Translation (71)
Out-of-Distribution Detection (68)
Machine Unlearning (63)
Generation (61)
Reasoning (54)
Multi-View Learning (53)
Time Series (52)
Instruction Tuning (50)
Distributed Learning (50)
Image Restoration (49)
Chain-of-Thought (48)
Active Learning (47)
Text Classification (43)
Distribution Shift (43)
Structured Prediction (42)
Clustering (41)
Image Classification (40)
Model Merging (37)
Sparse Learning (36)
Sequence Labeling (36)
Multi-Instance Learning (35)
Anomaly Detection (33)
Image Processing (33)
Code Generation (31)
Fairness (30)
Robust Learning (28)
Multi-Domain Learning (27)
Supervised Learning (26)
Model-Based RL (25)
Natural Language Generation (24)
Privacy (21)
Multi-Objective Optimization (19)
Multi-Scale Learning (19)
Neural Machine Translation (18)
Causal Inference (14)
Instance Segmentation (9)
Interactive Learning (9)
Multi-Label Learning (9)
Multi-Source Learning (9)
Multi-Class Classification (8)
Papers per year
1
22
25
29
26
38
46
60
109
129
179
310
686
1,294
2,286
3,018
3,254
3,930
4,067
4,819
5,737
2,605
'10
'15
'20
'25
Papers (including subtopics)
PMRNet: Physics-informed Multi-scale Refinement Network for Medical Image Segmentation
CVPR 2026
POCA: Pareto-Optimal Curriculum Alignment for Visual Text Generation
CVPR 2026
POGA: Paraphrased and Oppositional Graph Alignment for Fine-Grained Cross-Modal Retrieval
CVPR 2026
PointAlign: Feature-Level Alignment Regularization for 3D Vision-Language Models
CVPR 2026
PointCSP: Cross-Sample Semantic Propagation and Stability Preservation in Self-Supervised Point Cloud Learning
CVPR 2026
Pointer-CAD: Unifying B-Rep and Command Sequences via Pointer-based Edges & Faces Selection
CVPR 2026
PointGS: Semantic-Consistent Unsupervised 3D Point Cloud Segmentation with 3D Gaussian Splatting
CVPR 2026
PointThinker: Point-Incentivized Parallel Thinking for Multimodal Large Language Model
CVPR 2026
PointTPA: Dynamic Network Parameter Adaptation for 3D Scene Understanding
CVPR 2026
PolaFusion at SemEval-2026 Task 9: Ensemble Transformers with Targeted Augmentation for Multilingual Polarization Detection
SemEval 2026
PolAR Bears at SemEval-2026 Task 9: Parameter-Efficient Fine-Tuning and Cross-Lingual Augmentation for Multilingual Polarization Detection
SemEval 2026
PolarizedTeam at SemEval-2026 Task 9: Detecting Multilingual, Multicultural and Multievent Online Polarization
SemEval 2026
PolarMind at SemEval-2026 Task 9: Leveraging LaBSE with Progressive Curriculum Learning for Multicultural Polarization
SemEval 2026
PolDeck at SemEval-2026 Task 9: Multilingual Online Polarization Detection via Hybrid Model Ensembling and Data Augmentation
SemEval 2026
Portable Active Learning for Object Detection
CVPR 2026
PortraitDirector: A Hierarchical Disentanglement Framework for Controllable and Real-time Facial Reenactment
CVPR 2026
PoseAnything: General Pose-guided Video Generation with Part-aware Temporal Coherence
CVPR 2026
PoseGAM: Robust Unseen Object Pose Estimation via Geometry-Aware Multi-View Reasoning
CVPR 2026
Pose-guided Enriched Feature Learning for Federated-by-camera Person Re-identification
CVPR 2026
PositionIC: Unified Position and Identity Consistency for Image Customization
CVPR 2026
PosterOmni: Generalized Artistic Poster Creation via Task Distillation and Unified Reward Feedback
CVPR 2026
PosterReward: Unlocking Accurate Evaluation for High-Quality Graphic Design Generation
CVPR 2026
POUR: A Provably Optimal Method for Unlearning Representation via Neural Collapse
CVPR 2026
PowerCLIP: Powerset Alignment for Contrastive Pre-Training
CVPR 2026
Powering Verifiable Learning via Automated Evolutionary Data Synthesis
ACL 2026