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)
Progressive Fine-Tuning for Cost-Effective Structured Attribute Generation in E-commerce
ACL 2026
Progressive Mask Distillation for Self-supervised Video Representation
CVPR 2026
Progressive Multi-cue Alignment for Unaligned RGBT Tracking
CVPR 2026
Progressive Neural Architecture Generation
CVPR 2026
Progressive Supernet Training for Efficient Visual Autoregressive Modeling
CVPR 2026
ProM3E: Probabilistic Masked MultiModal Embedding Model for Ecology
CVPR 2026
Prompt-Free Universal Region Proposal Network
CVPR 2026
PromptLoop: Plug-and-Play Prompt Refinement via Latent Feedback for Diffusion Model Alignment
CVPR 2026
PromptStereo: Zero-Shot Stereo Matching via Structure and Motion Prompts
CVPR 2026
ProOOD: Prototype-Guided Out-of-Distribution 3D Occupancy Prediction
CVPR 2026
ProPhy: Progressive Physical Alignment for Dynamic World Simulation
CVPR 2026
Protein-STORY: Semantic Text-Oriented Representation Yields biologically meaningful Protein embeddings
ACL 2026
Prototype-based Causal Intervention for Multi-Label Image Classification
CVPR 2026
Proximal Policy Optimization Suffices for On-Policy Reinforcement Learning
UAI 2026
Proxy-Tuning: Tailoring Multimodal Autoregressive Models for Subject-Driven Image Generation
CVPR 2026
PRUE: A Practical Recipe for Field Boundary Segmentation at Scale
CVPR 2026
PSK at SemEval-2026 Task 9: Multilingual Polarization Detection Using Ensemble Gemma Models with Synthetic Data Augmentation
SemEval 2026
PSR: Scaling Multi-Subject Personalized Image Generation with Pairwise Subject-Consistency Rewards
CVPR 2026
psy detectives at SemEval-2026 Task 10: PsyCoMark – Psycholinguistic Conspiracy Marker Extraction and Detection
SemEval 2026
PUEB-DimASR at SemEval-2026 Task 3: Escaping the Mean Regression Trap with Graph-Enhanced Transformers for Dimensional Aspect-Based Sentiment Regression
SemEval 2026
PuerAI at SemEval-2026 Task 5: Homograph Appropriateness Assessment via DeBERTa Contrastive Regression and Contextual Grouping
SemEval 2026
Punctuation-Steered Representation Fine-Tuning
ACL 2026
Pushing the Frontier of Audiovisual Perception with Large-Scale Multimodal Correspondence Learning
CVPR 2026
PVeRA: Probabilistic Vector-Based Random Matrix Adaptation
WACV 2026
PvP: Data-Efficient Humanoid Robot Learning with Proprioceptive-Privileged Contrastive Representations
CVPR 2026