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)
Mid-level Visual Element Discovery as Discriminative Mode Seeking
NeurIPS 2013
MILEAGE: Multiple Instance LEArning with Global Embedding
ICML 2013
Mixed LICORS: A Nonparametric Algorithm for Predictive State Reconstruction
AISTATS 2013
Modeling Actions through State Changes
CVPR 2013
Modeling Occlusion by Discriminative AND-OR Structures
ICCV 2013
Modelling Sparse Dynamical Systems with Compressed Predictive State Representations
ICML 2013
Model Recommendation with Virtual Probes for Egocentric Hand Detection
ICCV 2013
Model Selection for High-Dimensional Regression under the Generalized Irrepresentability Condition
NeurIPS 2013
More data speeds up training time in learning halfspaces over sparse vectors
NeurIPS 2013
(More) Efficient Reinforcement Learning via Posterior Sampling
NeurIPS 2013
Multi-armed Bandit Problem with Lock-up Periods
ACML 2013
Multi-attribute Queries: To Merge or Not to Merge?
CVPR 2013
Multilabel Classification through Random Graph Ensembles
ACML 2013
Multi-Label Classification with Unlabeled Data: An Inductive Approach
ACML 2013
Multilinear Dynamical Systems for Tensor Time Series
NeurIPS 2013
Multilinear Multitask Learning
ICML 2013
Multipath Sparse Coding Using Hierarchical Matching Pursuit
CVPR 2013
Multiple Identifications in Multi-Armed Bandits
ICML 2013
Multiple-source cross-validation
ICML 2013
Multi-Stage Multi-Task Feature Learning
JMLR 2013
Multi-Task Bayesian Optimization
NeurIPS 2013
Multi-task Sparse Learning with Beta Process Prior for Action Recognition
CVPR 2013
(Nearly) Optimal Algorithms for Private Online Learning in Full-information and Bandit Settings
NeurIPS 2013
Near-optimal Batch Mode Active Learning and Adaptive Submodular Optimization
ICML 2013
Near-Optimal Entrywise Sampling for Data Matrices
NeurIPS 2013