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)
Fast Determinantal Point Process Sampling with Application to Clustering
NeurIPS 2013
Fast Face Detector Training Using Tailored Views
ICCV 2013
Fast Max-Margin Matrix Factorization with Data Augmentation
ICML 2013
Fast Object Detection with Entropy-Driven Evaluation
CVPR 2013
Feature Multi-Selection among Subjective Features
ICML 2013
Finding Actors and Actions in Movies
ICCV 2013
Finding the Best from the Second Bests - Inhibiting Subjective Bias in Evaluation of Visual Tracking Algorithms
ICCV 2013
Fine-Grained Crowdsourcing for Fine-Grained Recognition
CVPR 2013
Flexible sampling of discrete data correlations without the marginal distributions
NeurIPS 2013
Forgetful Bayes and myopic planning: Human learning and decision-making in a bandit setting
NeurIPS 2013
From Bandits to Experts: A Tale of Domination and Independence
NeurIPS 2013
From N to N+1: Multiclass Transfer Incremental Learning
CVPR 2013
From Semi-supervised to Transfer Counting of Crowds
ICCV 2013
From Subcategories to Visual Composites: A Multi-level Framework for Object Detection
ICCV 2013
Further Optimal Regret Bounds for Thompson Sampling
AISTATS 2013
Gaussian Process Conditional Copulas with Applications to Financial Time Series
NeurIPS 2013
Generalized Denoising Auto-Encoders as Generative Models
NeurIPS 2013
Generalized Method-of-Moments for Rank Aggregation
NeurIPS 2013
Generalized Random Utility Models with Multiple Types
NeurIPS 2013
Generalized Spike-and-Slab Priors for Bayesian Group Feature Selection Using Expectation Propagation
JMLR 2013
Generalizing Analytic Shrinkage for Arbitrary Covariance Structures
NeurIPS 2013
General Oracle Inequalities for Gibbs Posterior with Application to Ranking
COLT 2013
Generic Exploration and K-armed Voting Bandits
ICML 2013
GeoF: Geodesic Forests for Learning Coupled Predictors
CVPR 2013
Geometric Context from Videos
CVPR 2013