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)
Omniprediction with Long-Term Constraints
COLT 2026
On Coresets for End-to-end Learning from Crowds
AAAI 2026
OneLIP: Unlocking and Improving Long-Text Representations of CLIP via One-Stage Adaptation
AAAI 2026
One Sentence, Two Embeddings: Contrastive Learning of Explicit and Implicit Semantic Representations
EACL 2026
One-Shot Fine-Grained Re-Identification of Paint Marked Honey Bees using Vision Foundation Models
WACV 2026
One-shot Portrait Stylizaiton via Geometric Alignment
WACV 2026
Online Bernstein-von Mises theorem
JMLR 2026
OnlineBootKNN: An Unsupervised Framework for Detecting Anomalies in Spectral Data Streams
AAAI 2026
Online Bootstrap Inference for the Trend of Nonstationary Time Series
UAI 2026
Online Convex Optimization with Heavy Tails: Old Algorithms, New Regrets, and Applications
ALT 2026
Online Cross-Modal Hashing with Expanding Label Space
AAAI 2026
Online Data Curation for Object Detection via Marginal Contributions to Dataset-level Average Precision
CVPR 2026
Online Detection of Changes in Moment--Based Projections: When to Retrain Deep Learners or Update Portfolios?
JMLR 2026
Online Difficulty Filtering for Reasoning Oriented Reinforcement Learning
EACL 2026
Online Learning and Coverage of Unknown Fields Using Random-Feature Gaussian Processes
L4DC 2026
Online Learning for Project Selection in Hedonic Project Games
UAI 2026
Online Learning for Uninformed Markov Games: Empirical Nash-Value Regret and Non-Stationarity Adaptation
COLT 2026
Online Market Making and the Value of Observing the Order Book
COLT 2026
Online Multi-Relational Clustering with Dominant View Mining
AAAI 2026
Online Polarization Detection in Persian (Farsi) Social Media
EACL 2026
Online Realizable Regression and Applications for ReLU Networks
COLT 2026
Online Subspace Learning on Flag Manifolds for System Identification
L4DC 2026
On Model and Data Scaling for Skeleton-based Self-Supervised Gait Recognition
AAAI 2026
On Randomized Algorithms in Online Strategic Classification
COLT 2026
On the Calibration of Image Semi-Supervised Learning Models
AAAI 2026