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)
A computational model of hippocampal function in trace conditioning
NeurIPS 2008
A Convergent $O(n)$ Temporal-difference Algorithm for Off-policy Learning with Linear Function Approximation
NeurIPS 2008
Active Learning by Spherical Subdivision
JMLR 2008
Active Learning of Causal Networks with Intervention Experiments and Optimal Designs
JMLR 2008
Adapting to a Market Shock: Optimal Sequential Market-Making
NeurIPS 2008
Adaptive Forward-Backward Greedy Algorithm for Sparse Learning with Linear Models
NeurIPS 2008
Adaptive Martingale Boosting
NeurIPS 2008
Algorithms for Infinitely Many-Armed Bandits
NeurIPS 2008
A Library for Locally Weighted Projection Regression
JMLR 2008
A Multiple Instance Learning Strategy for Combating Good Word Attacks on Spam Filters
JMLR 2008
An Efficient Sequential Monte Carlo Algorithm for Coalescent Clustering
NeurIPS 2008
An Empirical Analysis of Domain Adaptation Algorithms for Genomic Sequence Analysis
NeurIPS 2008
An Homotopy Algorithm for the Lasso with Online Observations
NeurIPS 2008
An improved estimator of Variance Explained in the presence of noise
NeurIPS 2008
An interior-point stochastic approximation method and an L1-regularized delta rule
NeurIPS 2008
An Online Algorithm for Maximizing Submodular Functions
NeurIPS 2008
A rational model of preference learning and choice prediction by children
NeurIPS 2008
Artificial Olfactory Brain for Mixture Identification
NeurIPS 2008
A ``Shape Aware'' Model for semi-supervised Learning of Objects and its Context
NeurIPS 2008
Asynchronous Distributed Learning of Topic Models
NeurIPS 2008
A Transductive Bound for the Voted Classifier with an Application to Semi-supervised Learning
NeurIPS 2008
Beyond Novelty Detection: Incongruent Events, when General and Specific Classifiers Disagree
NeurIPS 2008
Biasing Approximate Dynamic Programming with a Lower Discount Factor
NeurIPS 2008
BiSpace Planning: Concurrent Multi-Space Exploration
RSS 2008
Bounding Performance Loss in Approximate MDP Homomorphisms
NeurIPS 2008