Learning Types
56,253 papers (3 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Self-Supervised Learning (8,965)
Adversarial Learning (5,204)
Unsupervised Learning (4,874)
Transfer Learning (4,808)
Weakly Supervised Learning (3,938)
Contrastive Learning (3,748)
Zero-Shot Learning (3,130)
Semi-Supervised Learning (3,128)
Reinforcement Learning (3,118)
Multi-Task Learning (2,556)
Evaluation (2,164)
Continual Learning (2,107)
Active Learning (1,983)
Few-Shot Learning (1,840)
Deep Learning (1,404)
Online Learning (1,360)
Multi-Armed Bandits (1,327)
Multimodal Learning (1,289)
Supervised Learning (986)
Multi-Agent Systems (813)
Uncertainty Quantification (805)
Causal Inference (636)
Robustness (576)
Retrieval-Augmented Generation (565)
Fine-Tuning (490)
Ensemble Learning (482)
In-Context Learning (439)
Multi-Label Classification (430)
Imitation Learning (387)
Prompt Engineering (270)
Multi-Lingual Learning (269)
Distribution Shift (264)
Reinforcement Learning from Human Feedback (209)
Regularization (207)
Exploration-Exploitation (203)
Generative Models (200)
Multi-Objective Optimization (185)
Out-of-Distribution Detection (176)
Sparse Learning (165)
Sampling (150)
Preference Learning (136)
Offline Reinforcement Learning (130)
Multi-Label Learning (128)
Markov Decision Process (127)
Neural Architecture Search (122)
Multi-Instance Learning (121)
Multi-View Learning (117)
Robust Learning (110)
Generative Model (110)
Time Series (108)
Large Language Models (104)
Exploration (103)
Hyperparameter Optimization (99)
Machine Unlearning (95)
Imbalanced Learning (93)
Machine Translation (93)
Multi-Class Classification (85)
Differential Privacy (82)
Time Series Analysis (71)
Reasoning (70)
Calibration (67)
Structure Learning (66)
Physics-Informed Learning (62)
Class Imbalance (58)
Model-Based RL (55)
Interactive Learning (55)
Multi-Domain Learning (47)
Inverse Reinforcement Learning (46)
Crowdsourcing (40)
Off-Policy Learning (38)
Label Noise (38)
Noisy Label Learning (35)
Offline RL (32)
Attention (32)
Evolutionary Algorithm (32)
Decision Making (31)
Policy Learning (30)
Personalization (28)
Low-Resource Learning (26)
Collaborative Filtering (25)
Self-Training (24)
Sequential Modeling (24)
Parameter Estimation (23)
Survival Analysis (21)
Machine Learning (20)
Parameter-Efficient Fine-Tuning (20)
Synthetic Data Generation (20)
Annotation (18)
Symbolic Regression (18)
AutoML (16)
Security (15)
Multi-Source Learning (13)
Distant Supervision (13)
Text Generation (11)
Distributional Reinforcement Learning (9)
Sentiment Analysis (9)
Multi-Hop Reasoning (9)
Language Modeling (9)
Code Generation (8)
Multi-Object Tracking (8)
Natural Language Inference (7)
Chain-of-Thought (6)
Question Answering (5)
Papers per year
1
8
12
26
18
20
135
136
147
149
220
231
316
526
460
477
660
1,314
2,083
3,689
4,652
5,914
6,826
8,201
8,755
9,258
2,019
2000
'5
'10
'15
'20
'25
Papers (including subtopics)
PolicyCache: Intra-flow Learning in Congestion Control
NSDI 2026
Policy Optimization for Adversarial Linear Mixture MDPs with Unknown Transitions and Bandit Feedback
UAI 2026
Policy Optimization for Unknown Systems using Differentiable MPC
L4DC 2026
PoseAdapt: Sustainable Human Pose Estimation via Continual Learning Benchmarks and Toolkit
WACV 2026
Positive-Unlabeled Regression: learning from partially labeled quantitative outcomes
UAI 2026
Potato 2.0: A Comprehensive Annotation Platform with AI-in-the-Loop Support
ACL 2026
Potent but Stealthy: Rethink Profile Pollution Against Sequential Recommendation via Bi-Level Constrained Reinforcement Paradigm
AAAI 2026
Predicting Video Slot Attention Queries from Random Slot-Feature Pairs
AAAI 2026
Predictive inference for time series: why is split conformal effective despite temporal dependence?
ALT 2026
Preference Elicitation for Step-Wise Explanations in Logic Puzzles
AAAI 2026
Preference Heads in Large Language Models: A Mechanistic Framework for Interpretable Personalization
ACL 2026
Preference Is More than Comparisons: Rethinking Dueling Bandits with Augmented Human Feedback
AAAI 2026
Premier: Personalized Preference Modulation with Learnable User Embedding in Text-to-Image Generation
CVPR 2026
PrevMatch: Revisiting and Maximizing Temporal Knowledge in Semi-Supervised Semantic Segmentation
WACV 2026
PriorRG: Prior-Guided Contrastive Pre-training and Coarse-to-Fine Decoding for Chest X-ray Report Generation
AAAI 2026
PRISM: Probabilistic Reward Model with Inherent Structural Modeling
ACL 2026
Privacy on the Fly: A Predictive Adversarial Transformation Network for Mobile Sensor Data
AAAI 2026
Private Linear Regression via a Down-Sensitivity to Privacy Reduction
COLT 2026
Privately Estimating Black-Box Statistics
COLT 2026
Privately Learning Decision Lists and a Differentially Private Winnow
ALT 2026
PR-MaGIC: Prompt Refinement Via Mask Decoder Gradient Flow For In-Context Segmentation
CVPR 2026
Probabilistic Deformation Consistency for Unsupervised Shape Matching
AAAI 2026
Probabilistic Precipitation Nowcasting with Rectified Flow Transformers
CVPR 2026
Probably Correct Optimal Stable Matching under Two-Sided Uncertainty
UAI 2026
Procedure Learning via Regularized Gromov-Wasserstein Optimal Transport
WACV 2026