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)
PLAL: Cluster-based active learning
COLT 2013
Point Based Value Iteration with Optimal Belief Compression for Dec-POMDPs
NeurIPS 2013
Policy Shaping: Integrating Human Feedback with Reinforcement Learning
NeurIPS 2013
Precision-recall space to correct external indices for biclustering
ICML 2013
Predictable Dual-View Hashing
ICML 2013
Predicting an Object Location Using a Global Image Representation
ICCV 2013
Predicting Sufficient Annotation Strength for Interactive Foreground Segmentation
ICCV 2013
Prediction by random-walk perturbation
COLT 2013
Prime Object Proposals with Randomized Prim's Algorithm
ICCV 2013
Prior-free and prior-dependent regret bounds for Thompson Sampling
NeurIPS 2013
Probabilistic Elastic Part Model for Unsupervised Face Detector Adaptation
ICCV 2013
Probabilistic Graphlet Cut: Exploiting Spatial Structure Cue for Weakly Supervised Image Segmentation
CVPR 2013
Probabilistic Movement Primitives
NeurIPS 2013
Projected Natural Actor-Critic
NeurIPS 2013
\proptoSVM for Learning with Label Proportions
ICML 2013
Prostate Segmentation in CT Images via Spatial-Constrained Transductive Lasso
CVPR 2013
Provable Subspace Clustering: When LRR meets SSC
NeurIPS 2013
q-OCSVM: A q-Quantile Estimator for High-Dimensional Distributions
NeurIPS 2013
QuantMiner for Mining Quantitative Association Rules
JMLR 2013
Query Induction with Schema-Guided Pruning Strategies
JMLR 2013
Random Spanning Trees and the Prediction of Weighted Graphs
JMLR 2013
Ranking Forests
JMLR 2013
Rapid Distance-Based Outlier Detection via Sampling
NeurIPS 2013
Real-Time Articulated Hand Pose Estimation Using Semi-supervised Transductive Regression Forests
ICCV 2013
Reconciling "priors" & "priors" without prejudice?
NeurIPS 2013