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)
Approximate Dynamic Programming Finally Performs Well in the Game of Tetris
NeurIPS 2013
Approximate Inference in Continuous Determinantal Processes
NeurIPS 2013
A Practical Transfer Learning Algorithm for Face Verification
ICCV 2013
A simple sketching algorithm for entropy estimation over streaming data
AISTATS 2013
A Stability-based Validation Procedure for Differentially Private Machine Learning
NeurIPS 2013
Attribute Adaptation for Personalized Image Search
ICCV 2013
Attribute-Based Detection of Unfamiliar Classes with Humans in the Loop
CVPR 2013
Attribute Dominance: What Pops Out?
ICCV 2013
Attribute Pivots for Guiding Relevance Feedback in Image Search
ICCV 2013
Auditing: Active Learning with Outcome-Dependent Query Costs
NeurIPS 2013
A Unified Probabilistic Approach Modeling Relationships between Attributes and Objects
ICCV 2013
A unifying framework for vector-valued manifold regularization and multi-view learning
ICML 2013
Bayesian Games for Adversarial Regression Problems
ICML 2013
Bayesian Joint Topic Modelling for Weakly Supervised Object Localisation
ICCV 2013
Bayesian optimization explains human active search
NeurIPS 2013
Beating Bandits in Gradually Evolving Worlds
COLT 2013
Bellman Error Based Feature Generation using Random Projections on Sparse Spaces
NeurIPS 2013
Better Approximation and Faster Algorithm Using the Proximal Average
NeurIPS 2013
Block and Group Regularized Sparse Modeling for Dictionary Learning
CVPR 2013
Block Regularized Lasso for Multivariate Multi-Response Linear Regression
AISTATS 2013
Bounded regret in stochastic multi-armed bandits
COLT 2013
Breaking the Small Cluster Barrier of Graph Clustering
ICML 2013
B-test: A Non-parametric, Low Variance Kernel Two-sample Test
NeurIPS 2013
Buy-in-Bulk Active Learning
NeurIPS 2013
Cascaded Shape Space Pruning for Robust Facial Landmark Detection
ICCV 2013