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)
DMCAR: Disentangled Mixture-of-Experts with Context-Aware Routing for Multi-View Clustering
AAAI 2026
DMGINE: Day-Memory Guided Nighttime Image Enhancement for Dynamic Traffic Scenes
AAAI 2026
DMHM: Density-aware Manifold Learning and Hybrid Mahalanobis Energy for LLMs-generated Text Detection
ACL 2026
DMRetriever: A Family of Models for Improved Text Retrieval in Disaster Management
ACL 2026
DNA: Dual-branch Network with Adaptation for Open-Set Online Handwriting Generation
WACV 2026
DocR1: Evidence Page-Guided GRPO for Multi-Page Document Understanding
AAAI 2026
Document-Level Zero-Shot Relation Extraction with Entity Side Information
EACL 2026
Does Topic Sentiment Cause Perceived Ideology? Comparing Human and LLM Annotations in Political News Articles
ACL 2026
DoKnowAD: Calibrating Normal Representations with Refined Domain Knowledge to Enhance Time Series Anomaly Detection
AAAI 2026
Do LLM hallucination detectors suffer from low-resource effect?
EACL 2026
Domain-Auxiliary Infrared Moving Small Target Detection by Learning to Overlook Domain Discrepancy
AAAI 2026
Domain-Aware Multi-View Contrastive Representation Learning for Protein Subcellular Localization Prediction
AAAI 2026
Domain Generalizing DINO for Visual Regression via Latent Distractor Subspace Consistency
WACV 2026
Do Not Step Into the Same River Twice: Learning to Reason from Trial and Error
ACL 2026
Don’t Stop the Multi-Party! On Generating Synthetic Written Multi-Party Conversations with Constraints
AAAI 2026
Don’t Test What You Can Deduce: Causal Discovery with Logical Inference
UAI 2026
DOS: Distilling Observable Softmaps of Zipfian Prototypes for Self-Supervised Point Representation
AAAI 2026
DOTGraph: CLIP-Driven Feature Disentanglement and Optimal Transport based Graph Learning for Few-Shot Segmentation
WACV 2026
Doubly Debiased Test-Time Prompt Tuning for Vision-Language Models
AAAI 2026
Do We Need to Penalize Variance of Losses for Learning with Label Noise?
JMLR 2026
Do You See Me : A Multidimensional Benchmark for Evaluating Visual Perception in Multimodal LLMs
EACL 2026
DP-FedAdamW: An Efficient Optimizer for Differentially Private Federated Large Models
CVPR 2026
DPRM: A Dual Implicit Process Reward Model in Multi-Hop Question Answering
AAAI 2026
Drainage: A Unifying Framework for Addressing Class Uncertainty
CVPR 2026
DREAM: Dynamic Prompts and GuidedMix for Efficient Continual Adaptation of Visual-Language Models
WACV 2026