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)
Video Event Detection by Inferring Temporal Instance Labels
CVPR 2014
Wasserstein Propagation for Semi-Supervised Learning
ICML 2014
Weakly-supervised Discovery of Visual Pattern Configurations
NeurIPS 2014
Weakly Supervised Multiclass Video Segmentation
CVPR 2014
Weighted importance sampling for off-policy learning with linear function approximation
NeurIPS 2014
What Regularized Auto-Encoders Learn from the Data-Generating Distribution
JMLR 2014
Zero-shot Event Detection using Multi-modal Fusion of Weakly Supervised Concepts
CVPR 2014
Zero-shot recognition with unreliable attributes
NeurIPS 2014
3D Sub-query Expansion for Improving Sketch-Based Multi-view Image Retrieval
ICCV 2013
A Comparative Framework for Preconditioned Lasso Algorithms
NeurIPS 2013
A Competitive Test for Uniformity of Monotone Distributions
AISTATS 2013
A Convex Optimization Framework for Active Learning
ICCV 2013
Action from Still Image Dataset and Inverse Optimal Control to Learn Task Specific Visual Scanpaths
NeurIPS 2013
Action is in the Eye of the Beholder: Eye-gaze Driven Model for Spatio-Temporal Action Localization
NeurIPS 2013
Action Recognition with Actons
ICCV 2013
Active and passive learning of linear separators under log-concave distributions
COLT 2013
Active Bayesian Perception for Simultaneous Object Localization and Identification
RSS 2013
Active Learning for Interactive Visualization
AISTATS 2013
Active Learning for Multi-Objective Optimization
ICML 2013
Active Learning for Probabilistic Hypotheses Using the Maximum Gibbs Error Criterion
NeurIPS 2013
Active Learning of an Action Detector from Untrimmed Videos
ICCV 2013
Active Sampling of Pairs and Points for Large-scale Linear Bipartite Ranking
ACML 2013
Active Visual Recognition with Expertise Estimation in Crowdsourcing
ICCV 2013
Activized Learning with Uniform Classification Noise
ICML 2013
Actor-Critic Algorithms for Risk-Sensitive MDPs
NeurIPS 2013