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)
Generalization Bounds for Semi-supervised Matrix Completion with Distributional Side Information
AAAI 2026
Generalized Distribution-Free Semi-Supervised Learning with Risk Rewrite
UAI 2026
Generalized-Scale Object Counting with Gradual Query Aggregation
AAAI 2026
Generalizing Abstention for Noise-Robust Learning in Medical Image Segmentation
MIDL 2026
Generative Personality Simulation via Theory-Informed Structured Interview
EACL 2026
GeoCoBox: Box-supervised 3D Tumor Segmentation via Geometric Co-embedding
AAAI 2026
Geometric Correspondence Constrained Pseudo-Label Alignment for Source-Free Domain Adaptive Fundus Image Segmentation
AAAI 2026
Global Convergence of Average Reward Constrained MDPs with Neural Critic and General Policy Parameterization
UAI 2026
Goal Force: Teaching Video Models To Accomplish Physics-Conditioned Goals
CVPR 2026
GOAL: Geometrically Optimal Alignment for Continual Generalized Category Discovery
AAAI 2026
Good Gradients Poison Your Model: Evading Defenses in Federated Learning via Boundary-adaptive Perturbation
AAAI 2026
GorillaWatch: An Automated System for In-the-Wild Gorilla Re-Identification and Population Monitoring
WACV 2026
Gotta Hear Them All: Towards Sound Source Aware Audio Generation
AAAI 2026
Gradient-Variation Regret Bounds for Unconstrained Online Learning
COLT 2026
GRAM-R²: Self-Training Generative Foundation Reward Models for Reward Reasoning
AAAI 2026
Graph Attention Prototypical Network for Robust Few-Shot Classification
CVPR 2026
Graph-augmented and Over-smoothing-resistant Contrastive Clustering for Short Text
AAAI 2026
Graph-based Label-Efficient Learning: When Graph-Structured Data Meets Limited Labels
AAAI 2026
Graph Contrastive Learning with Balanced Hard Negatives and Fine-grained Semantic-aware Positives
AAAI 2026
Graph-Dependent Regret Bounds in Multi-Armed Bandits with Interference
UAI 2026
Graph neural networks extrapolate out-of-distribution for shortest paths
COLT 2026
GraphOracle: Efficient Fully-Inductive Knowledge Graph Reasoning via Relation-Dependency Graphs
AAAI 2026
GraphTextack: A Realistic Black-Box Node Injection Attack on LLM-Enhanced GNNs
AAAI 2026
Graph-Theoretic Consistency for Robust and Topology-Aware Semi-Supervised Histopathology Segmentation (Student Abstract)
AAAI 2026
GREAT: Generalizable Representation Enhancement via Auxiliary Transformations for Zero-Shot Environmental Prediction
AAAI 2026