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)
Style-Aware Mid-level Representation for Discovering Visual Connections in Space and Time
ICCV 2013
Subcategory-Aware Object Classification
CVPR 2013
Subspace Interpolation via Dictionary Learning for Unsupervised Domain Adaptation
CVPR 2013
Summary Statistics for Partitionings and Feature Allocations
NeurIPS 2013
Supervised Sequential Classification Under Budget Constraints
AISTATS 2013
Supervised Sparse Analysis and Synthesis Operators
NeurIPS 2013
Symbolic Opportunistic Policy Iteration for Factored-Action MDPs
NeurIPS 2013
Synergistic Clustering of Image and Segment Descriptors for Unsupervised Scene Understanding
ICCV 2013
Synthesizing Robust Plans under Incomplete Domain Models
NeurIPS 2013
Tensor-Based High-Order Semantic Relation Transfer for Semantic Scene Segmentation
CVPR 2013
The CAM Software for Nonnegative Blind Source Separation in R-Java
JMLR 2013
The Cross-Entropy Method Optimizes for Quantiles
ICML 2013
The Multi-Task Learning View of Multimodal Data
ACML 2013
The Pareto Regret Frontier
NeurIPS 2013
The price of bandit information in multiclass online classification
COLT 2013
The Total Variation on Hypergraphs - Learning on Hypergraphs Revisited
NeurIPS 2013
Thompson Sampling for 1-Dimensional Exponential Family Bandits
NeurIPS 2013
Thompson Sampling for Contextual Bandits with Linear Payoffs
ICML 2013
Thompson Sampling in Switching Environments with Bayesian Online Change Detection
AISTATS 2013
Top-down particle filtering for Bayesian decision trees
ICML 2013
Top-Down Regularization of Deep Belief Networks
NeurIPS 2013
Top-k Selection based on Adaptive Sampling of Noisy Preferences
ICML 2013
Tracking Time-varying Graphical Structure
NeurIPS 2013
Tracking via Robust Multi-task Multi-view Joint Sparse Representation
ICCV 2013
Training and Analysing Deep Recurrent Neural Networks
NeurIPS 2013