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)
Active Policy Learning for Robot Planning and Exploration under Uncertainty
RSS 2007
Active Preference Learning with Discrete Choice Data
NeurIPS 2007
Adaptive Online Gradient Descent
NeurIPS 2007
A Game-Theoretic Approach to Apprenticeship Learning
NeurIPS 2007
A general agnostic active learning algorithm
NeurIPS 2007
A General Boosting Method and its Application to Learning Ranking Functions for Web Search
NeurIPS 2007
Agreement-Based Learning
NeurIPS 2007
A learning framework for nearest neighbor search
NeurIPS 2007
An Analysis of Inference with the Universum
NeurIPS 2007
A New View of Automatic Relevance Determination
NeurIPS 2007
An online Hebbian learning rule that performs Independent Component Analysis
NeurIPS 2007
Anytime Induction of Cost-sensitive Trees
NeurIPS 2007
A probabilistic model for generating realistic lip movements from speech
NeurIPS 2007
A Spectral Regularization Framework for Multi-Task Structure Learning
NeurIPS 2007
A Stochastic Algorithm for Feature Selection in Pattern Recognition
JMLR 2007
Bayes-Adaptive POMDPs
NeurIPS 2007
Bayesian Co-Training
NeurIPS 2007
Bayesian Inference for Spiking Neuron Models with a Sparsity Prior
NeurIPS 2007
Bayesian Policy Learning with Trans-Dimensional MCMC
NeurIPS 2007
Behavioral Shaping for Geometric Concepts
JMLR 2007
Blind channel identification for speech dereverberation using l1-norm sparse learning
NeurIPS 2007
Boosting Algorithms for Maximizing the Soft Margin
NeurIPS 2007
Boosting the Area under the ROC Curve
NeurIPS 2007
Bundle Methods for Machine Learning
NeurIPS 2007
Catching Change-points with Lasso
NeurIPS 2007