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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'20
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Papers (including subtopics)
Causal Strategic Inference in Networked Microfinance Economies
NeurIPS 2014
Characterizing EVOI-Sufficient k-Response Query Sets in Decision Problems
AISTATS 2014
Class Proportion Estimation with Application to Multiclass Anomaly Rejection
AISTATS 2014
Clustering from Labels and Time-Varying Graphs
NeurIPS 2014
Clustering Hidden Markov Models with Variational HEM
JMLR 2014
Clustering in the Presence of Background Noise
ICML 2014
Cold-start Active Learning with Robust Ordinal Matrix Factorization
ICML 2014
Co-localization in Real-World Images
CVPR 2014
Combinatorial Partial Monitoring Game with Linear Feedback and Its Applications
ICML 2014
Combinatorial Pure Exploration of Multi-Armed Bandits
NeurIPS 2014
Community Detection via Random and Adaptive Sampling
COLT 2014
Complex Activity Recognition using Granger Constrained DBN (GCDBN) in Sports and Surveillance Video
CVPR 2014
Computational Education using Latent Structured Prediction
AISTATS 2014
Computing Nash Equilibria in Generalized Interdependent Security Games
NeurIPS 2014
Concept Drift Detection Through Resampling
ICML 2014
Condensed Filter Tree for Cost-Sensitive Multi-Label Classification
ICML 2014
Conditional Random Field Autoencoders for Unsupervised Structured Prediction
NeurIPS 2014
Conditional Swap Regret and Conditional Correlated Equilibrium
NeurIPS 2014
Confidence-Rated Multiple Instance Boosting for Object Detection
CVPR 2014
Consistency of weighted majority votes
NeurIPS 2014
Consistent Binary Classification with Generalized Performance Metrics
NeurIPS 2014
Constructing Robust Affinity Graphs for Spectral Clustering
CVPR 2014
Content-based recommendations with Poisson factorization
NeurIPS 2014
Contextual Bandits with Similarity Information
JMLR 2014
Continuous Manifold Based Adaptation for Evolving Visual Domains
CVPR 2014