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
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'10
'15
'20
'25
Papers (including subtopics)
Dynamic Maps for Long-Term Operation of Mobile Service Robots
RSS 2005
Efficient Margin Maximizing with Boosting
JMLR 2005
Estimating Functions for Blind Separation When Sources Have Variance Dependencies
JMLR 2005
Fast Kernel Classifiers with Online and Active Learning
JMLR 2005
Generalization Bounds for the Area Under the ROC Curve
JMLR 2005
Learning Module Networks
JMLR 2005
Learning Multiple Tasks with Kernel Methods
JMLR 2005
Learning the Kernel Function via Regularization
JMLR 2005
Machine Learning Methods for Predicting Failures in Hard Drives: A Multiple-Instance Application
JMLR 2005
Managing Diversity in Regression Ensembles
JMLR 2005
Separating a Real-Life Nonlinear Image Mixture
JMLR 2005
Stability of Randomized Learning Algorithms
JMLR 2005
Supervised and Unsupervised Learning for Sentence Compression
ACL 2005
A Universal Well-Calibrated Algorithm for On-line Classification
JMLR 2004
Fast Binary Feature Selection with Conditional Mutual Information
JMLR 2004
Fast String Kernels using Inexact Matching for Protein Sequences
JMLR 2004
Feature Discovery in Non-Metric Pairwise Data
JMLR 2004
Feature Selection for Unsupervised Learning
JMLR 2004
Image Categorization by Learning and Reasoning with Regions
JMLR 2004
Learning Ensembles from Bites: A Scalable and Accurate Approach
JMLR 2004
Non-negative Matrix Factorization with Sparseness Constraints
JMLR 2004
No Unbiased Estimator of the Variance of K-Fold Cross-Validation
JMLR 2004
Online Choice of Active Learning Algorithms
JMLR 2004
Preference Elicitation and Query Learning
JMLR 2004
Randomized Variable Elimination
JMLR 2004