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)
Direct 0-1 Loss Minimization and Margin Maximization with Boosting
NeurIPS 2013
Dirty Statistical Models
NeurIPS 2013
Discovering Hidden Variables in Noisy-Or Networks using Quartet Tests
NeurIPS 2013
Discovering Object Functionality
ICCV 2013
Discriminant Tracking Using Tensor Representation with Semi-supervised Improvement
ICCV 2013
Discriminatively Trained And-Or Tree Models for Object Detection
CVPR 2013
Discriminative Non-blind Deblurring
CVPR 2013
Discriminative Segment Annotation in Weakly Labeled Video
CVPR 2013
Discriminative Sub-categorization
CVPR 2013
Discriminative Subspace Clustering
CVPR 2013
Discriminative Transfer Learning with Tree-based Priors
NeurIPS 2013
Distributed Exploration in Multi-Armed Bandits
NeurIPS 2013
Distributed Low-Rank Subspace Segmentation
ICCV 2013
Divide and Conquer Kernel Ridge Regression
COLT 2013
Divvy: Fast and Intuitive Exploratory Data Analysis
JMLR 2013
Domain Adaptive Classification
ICCV 2013
Dropout Training as Adaptive Regularization
NeurIPS 2013
Drosophila Embryo Stage Annotation Using Label Propagation
ICCV 2013
Dual Averaging and Proximal Gradient Descent for Online Alternating Direction Multiplier Method
ICML 2013
Dynamic Clustering via Asymptotics of the Dependent Dirichlet Process Mixture
NeurIPS 2013
Dynamic Label Propagation for Semi-supervised Multi-class Multi-label Classification
ICCV 2013
Dynamic Pooling for Complex Event Recognition
ICCV 2013
Dynamic Scene Classification: Learning Motion Descriptors with Slow Features Analysis
CVPR 2013
Efficient 3D Scene Labeling Using Fields of Trees
ICCV 2013
Efficient Active Learning of Halfspaces: an Aggressive Approach
ICML 2013