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)
HP-Edit: A Human-Preference Post-Training Framework for Image Editing
CVPR 2026
HQ-SVC: Towards High-Quality Zero-Shot Singing Voice Conversion in Low-Resource Scenarios
AAAI 2026
HTG-GCL: Leveraging Hierarchical Topological Granularity from Cellular Complexes for Graph Contrastive Learning
AAAI 2026
HU at SemEval-2026 Task 6: A Hybrid Discriminative Modeling of Political Clarity and Evasion
SemEval 2026
HuiduRep: A Robust Self-Supervised Framework for Learning Neural Representations from Extracellular Recordings
AAAI 2026
Human2Robot: Learning Robot Actions from Paired Human-Robot Videos
AAAI 2026
Human-Centric Video Generation via Collaborative Multi-Modal Conditioning
AAAI 2026
Human-Corrected Labels Learning: Enhancing Labels Quality via Human Correction of VLMs Discrepancies
AAAI 2026
HumanGuideNet: Adapter-Based Alignment of Deep Neural Networks with Human Similarity Judgments
WACV 2026
Human-in-the-Loop Eider Duck Counting in Arctic Canada with an Open-Vocabulary Multi-Species Wildlife Detector
AAAI 2026
Human Motion Unlearning
AAAI 2026
Humans and transformer LMs: Abstraction drives language learning
EACL 2026
Hybrid-Domain Adaptative Representation Learning for Gaze Estimation
AAAI 2026
Hybrid Neural-LLM Pipeline for Morphological Glossing in Endangered Language Documentation: A Case Study of Jungar Tuvan
EACL 2026
Hybrid Routing for a Mixture of LoRA Experts
AAAI 2026
HyCoRA: Hyper-Contrastive Role-Adaptive Learning for Role-Playing
AAAI 2026
HyperAim: Hypergraph Contrastive Learning with Adaptive Multi-frequency Filters
AAAI 2026
Hyperbolic-Enhanced Mixture-of-Experts Mamba for Sequential Recommendation
AAAI 2026
Hyperbolic Hierarchical Alignment Reasoning Network for Text-3D Retrieval
AAAI 2026
HyperGOOD: Towards Out-of-Distribution Detection in Hypergraphs
AAAI 2026
Hypergraph-Based Multi-View Multi-Label Classification via Adaptive High-Order Semantic Fusion
AAAI 2026
HyperNoRA: Hyperedge Prediction via Node-Level Relation-Aware Self-Supervised Hypergraph Learning
AAAI 2026
Hyper-Opinion Vagueness Quantification for Robust Multimodal Learning
AAAI 2026
HyperPose: Hyper-pose Embeddings for 3D-Aware Generative Models with Self-Supervised Disentangling of Pose and Scene
WACV 2026
HyperSHAP: Shapley Values and Interactions for Explaining Hyperparameter Optimization
AAAI 2026