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
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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)
Masked Clustering Prediction for Unsupervised Point Cloud Pre-training
AAAI 2026
Masked Mineral Modeling: Continent-Scale Mineral Prospecting via Geospatial Infilling
AAAI 2026
Mask the Redundancy: Evolving Masking Representation Learning for Multivariate Time-Series Clustering
AAAI 2026
MASP: Multi-Aspect Guided Emotion Reasoning with Soft Prompt Tuning In Vision-Language Models
AAAI 2026
Matched-Pair Experimental Design with Active Learning
UAI 2026
MatchTIR: Fine-Grained Supervision for Tool-Integrated Reasoning via Bipartite Matching
ACL 2026
MathSE: Improving Multimodal Mathematical Reasoning via Self-Evolving Iterative Reflection and Reward-Guided Fine-Tuning
AAAI 2026
MathSmith: Towards Extremely Hard Mathematical Reasoning by Forging Synthetic Problems with a Reinforced Policy
AAAI 2026
MCIE: Multimodal LLM-Driven Complex Instruction Image Editing with Spatial Guidance
AAAI 2026
MCMoE: Completing Missing Modalities with Mixture of Experts for Incomplete Multimodal Action Quality Assessment
AAAI 2026
MDCS-MoAME: Multi-directional Composite Scanning with Mixture of Attention and Mamba Experts for Cancer Survival Prediction
CVPR 2026
MDND: Unsupervised Learning Guided by Non-Differentiable Refinement for Shape Correspondence
AAAI 2026
mdok-style at SemEval-2026 Task 10: Finetuning LLMs for Conspiracy Detection
SemEval 2026
Measure The Feature Universe: Topology-based Pseudo Labeling and Gravity Consistency for Source-Free Domain Adaptation
CVPR 2026
Measuring Distribution Shift in User Prompts and Its Effects on LLM Performance
ACL 2026
MEDAL: multi-modal MEta-space Distillation and ALignment for Visual Compatibility Learning
WACV 2026
MedHastra at SemEval-2026 Task 13: Stylometric Ensembles and Transformer Fine-Tuning for Robust AI Code Detection, Attribution, and Adversarial Analysis
SemEval 2026
Medical Image Segmentation with Minimal Labeling Effort: How Far Can We Push the Limits?
AAAI 2026
Medical Vision–Language Pretraining with LLM-Guided Temporal Supervision
AAAI 2026
MedPEFT-CL: Dual-Phase Parameter-Efficient Continual Learning with Medical Semantic Adapter and Bidirectional Memory Consolidation
WACV 2026
MedROV: Towards Real-Time Open-Vocabulary Detection Across Diverse Medical Imaging Modalities
WACV 2026
Membership Inference Attack Against Large Language Model-Based Recommendation Systems: A New Distillation-Based Paradigm
AAAI 2026
MemFlow: A Lightweight Forward Memorizing Framework for Quick Domain Adaptive Feature Mapping
CVPR 2026
Memorize Early, Then Query: Inlier-Memorization-Guided Active Outlier Detection
AAAI 2026
Memory Matters: Boosting Training-Free Zero-Shot Temporal Action Localization with a Learnable Lookup Table
CVPR 2026