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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Papers (including subtopics)
Gibbs Max-Margin Topic Models with Fast Sampling Algorithms
ICML 2013
GOSUS: Grassmannian Online Subspace Updates with Structured-Sparsity
ICCV 2013
Graphical Models for Inference with Missing Data
NeurIPS 2013
Graph Transduction Learning with Connectivity Constraints with Application to Multiple Foreground Cosegmentation
CVPR 2013
GRASP Recurring Patterns from a Single View
CVPR 2013
Group Norm for Learning Structured SVMs with Unstructured Latent Variables
ICCV 2013
Guided Monte Carlo Tree Search for Planning in Learned Environments
ACML 2013
Handling Uncertain Tags in Visual Recognition
ICCV 2013
Heterogeneous Image Features Integration via Multi-modal Semi-supervised Learning Model
ICCV 2013
Heterogeneous-Neighborhood-based Multi-Task Local Learning Algorithms
NeurIPS 2013
Hierarchical Joint Max-Margin Learning of Mid and Top Level Representations for Visual Recognition
ICCV 2013
Hierarchically-coupled hidden Markov models for learning kinetic rates from single-molecule data
ICML 2013
Hierarchical Regularization Cascade for Joint Learning
ICML 2013
High-Dimensional Gaussian Process Bandits
NeurIPS 2013
Horizon-Independent Optimal Prediction with Log-Loss in Exponential Families
COLT 2013
How Related Exemplars Help Complex Event Detection in Web Videos?
ICCV 2013
How to Hedge an Option Against an Adversary: Black-Scholes Pricing is Minimax Optimal
NeurIPS 2013
Human Boosting
ICML 2013
Human Pose Estimation Using Body Parts Dependent Joint Regressors
CVPR 2013
Image Co-segmentation via Consistent Functional Maps
ICCV 2013
Image Tag Completion via Image-Specific and Tag-Specific Linear Sparse Reconstructions
CVPR 2013
Improved and Generalized Upper Bounds on the Complexity of Policy Iteration
NeurIPS 2013
Incremental Semantically Grounded Learning from Demonstration
RSS 2013
Inductive Hashing on Manifolds
CVPR 2013
Inferring neural population dynamics from multiple partial recordings of the same neural circuit
NeurIPS 2013