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
'5
'10
'15
'20
'25
Papers (including subtopics)
DreamSAC: Learning Hamiltonian World Models via Symmetry Exploration
CVPR 2026
DRFGD: Disentangled Representation-Focused Generative Defense for Attack-Tolerant Cross-Modal Hashing
AAAI 2026
Drift-aware Collaborative Assistance Mixture of Experts for Heterogeneous Multistream Learning
AAAI 2026
DRIFT: Difference-Aware Reinforcement Through Iterative Fine-Tuning for Language Model
AAAI 2026
Drifting Away from Truth: GenAI-Driven News Diversity Challenges LVLM-Based Misinformation Detection
AAAI 2026
Drive My Way: Preference Alignment of Vision-Language-Action Model for Personalized Driving
CVPR 2026
DRL-ORA: Distributional Reinforcement Learning with Online Epistemic Risk Adaptation
UAI 2026
DRM: Diffusion-based Reward Model With Step-wise Guidance
CVPR 2026
Dropout Prompt Learning: Towards Robust and Adaptive Vision-Language Models
AAAI 2026
Drs.NAS: Ultra-Efficient Neural Architecture Search for Recommendation Systems
OSDI 2026
DRSoRec: Dual-Rectification of Social Networks for Recommendation
AAAI 2026
DS-ProGen: A Dual-Structure Deep Language Model for Functional Protein Design
AAAI 2026
Dual-branch Spatial-Temporal Self-supervised Representation for Enhanced Road Network Learning
AAAI 2026
Dual-Domain Multimodal Hyperbolic Fusion for Cardiopulmonary Disease Diagnosis in Emergency Care
WACV 2026
Dual-Estimator: Decoupling Global and Local Semantic Shift for Drift Compensation in Class-Incremental Learning
CVPR 2026
DualFete: Revisiting Teacher-Student Interactions from a Feedback Perspective for Semi-supervised Medical Image Segmentation
AAAI 2026
Dual Graph Disambiguation for Multi-Instance Partial-Label Learning
AAAI 2026
Dual-Horizon Interest Model for Unified Search and Recommendation
AAAI 2026
Dual-Kernel Graph Community Contrastive Learning
AAAI 2026
Dual-Level Confidence based Implicit Self-Refinement for Medical Visual Question Answering
CVPR 2026
Dual-Path Knowledge-Augmented Contrastive Alignment Network for Spatially Resolved Transcriptomics
AAAI 2026
Dual-Prototype-Guided Multi-task Learning for Unsupervised Anomaly Detection and Classification
CVPR 2026
DuGI-MAE: Improving Infrared Mask Autoencoders via Dual-Domain Guidance
AAAI 2026
DWTSG: Parameter-Efficient Fine-Tuning of Large Pre-trained Models via Discrete Wavelet Transform and Subband Guidance
AAAI 2026
DyBBT: Dynamic Balance via Bandit-inspired Targeting for Dialog Policy with Cognitive Dual Systems
ACL 2026