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)
Convergence of Monte Carlo Tree Search in Simultaneous Move Games
NeurIPS 2013
Convex Adversarial Collective Classification
ICML 2013
Convex and Scalable Weakly Labeled SVMs
JMLR 2013
Correlated random features for fast semi-supervised learning
NeurIPS 2013
Correlation Adaptive Subspace Segmentation by Trace Lasso
ICCV 2013
Correlations strike back (again): the case of associative memory retrieval
NeurIPS 2013
Correntropy Induced L2 Graph for Robust Subspace Clustering
ICCV 2013
Cosegmentation and Cosketch by Unsupervised Learning
ICCV 2013
Co-Training with Insufficient Views
ACML 2013
Counterfactual Reasoning and Learning Systems: The Example of Computational Advertising
JMLR 2013
Covariate Shift in Hilbert Space: A Solution via Sorrogate Kernels
ICML 2013
Cross-View Action Recognition over Heterogeneous Feature Spaces
ICCV 2013
Cross-View Action Recognition via a Continuous Virtual Path
CVPR 2013
Curvature-Aware Regularization on Riemannian Submanifolds
ICCV 2013
Data-driven covariate selection for nonparametric estimation of causal effects
AISTATS 2013
Data-driven Distributionally Robust Polynomial Optimization
NeurIPS 2013
Decision Jungles: Compact and Rich Models for Classification
NeurIPS 2013
Deep content-based music recommendation
NeurIPS 2013
Density estimation from unweighted k-nearest neighbor graphs: a roadmap
NeurIPS 2013
Designing Category-Level Attributes for Discriminative Visual Recognition
CVPR 2013
DESPOT: Online POMDP Planning with Regularization
NeurIPS 2013
Detecting Pulse from Head Motions in Video
CVPR 2013
DeViSE: A Deep Visual-Semantic Embedding Model
NeurIPS 2013
Dictionary Learning from Ambiguously Labeled Data
CVPR 2013
Dimension-Free Exponentiated Gradient
NeurIPS 2013