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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'20
'25
Papers (including subtopics)
Online Robust PCA via Stochastic Optimization
NeurIPS 2013
Online Similarity Prediction of Networked Data from Known and Unknown Graphs
COLT 2013
Online Variational Approximations to non-Exponential Family Change Point Models: With Application to Radar Tracking
NeurIPS 2013
On multi-class classification through the minimization of the confusion matrix norm
ACML 2013
On Poisson Graphical Models
NeurIPS 2013
On the Complexity of Bandit and Derivative-Free Stochastic Convex Optimization
COLT 2013
On the Generalization Ability of Online Learning Algorithms for Pairwise Loss Functions
ICML 2013
Open Problem: Adversarial Multiarmed Bandits with Limited Advice
COLT 2013
Open Problem: Lower bounds for Boosting with Hadamard Matrices
COLT 2013
Opportunistic Strategies for Generalized No-Regret Problems
COLT 2013
Optimal Discovery with Probabilistic Expert Advice: Finite Time Analysis and Macroscopic Optimality
JMLR 2013
Optimal rates for stochastic convex optimization under Tsybakov noise condition
ICML 2013
Optimistic Concurrency Control for Distributed Unsupervised Learning
NeurIPS 2013
Optimistic policy iteration and natural actor-critic: A unifying view and a non-optimality result
NeurIPS 2013
Optimization, Learning, and Games with Predictable Sequences
NeurIPS 2013
Optimizing the F-Measure in Multi-Label Classification: Plug-in Rule Approach versus Structured Loss Minimization
ICML 2013
Pairwise Likelihood Ratios for Estimation of Non-Gaussian Structural Equation Models
JMLR 2013
Parametric Task Learning
NeurIPS 2013
Part-Based Visual Tracking with Online Latent Structural Learning
CVPR 2013
Part Discovery from Partial Correspondence
CVPR 2013
Pass-efficient unsupervised feature selection
NeurIPS 2013
PDM-ENLOR: Learning Ensemble of Local PDM-Based Regressions
CVPR 2013
Pedestrian Detection with Unsupervised Multi-stage Feature Learning
CVPR 2013
Perfect Associative Learning with Spike-Timing-Dependent Plasticity
NeurIPS 2013
PixelTrack: A Fast Adaptive Algorithm for Tracking Non-rigid Objects
ICCV 2013