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)
Creating Generalizable Data-Driven Approaches for Biodiversity Monitoring via Acoustics
AAAI 2026
CRISP: Curriculum-Inducing Primitive Informed Subgoal Prediction for Boosting Hierarchical Reinforcement Learning
AAAI 2026
CRIT: Graph-Based Automatic Data Synthesis to Enhance Cross-Modal Multi-Hop Reasoning
CVPR 2026
CriticLean: Critic-Guided Reinforcement Learning for Mathematical Formalization
ACL 2026
CrossFusion: A Multi-Scale Cross-Attention Convolutional Fusion Model for Cancer Survival Prediction
MIDL 2026
Cross-Lingual and Cross-Domain Transfer Learning for POS Tagging in Historical Germanic Low-Resource Languages
EACL 2026
Cross-lingual and Word-Independent Methods for Quantifying Degree of Grammaticalization
EACL 2026
Cross-Modal Event Encoder: Bridging Image-Text Knowledge to Event Streams
WACV 2026
Cross-Modal Masked Compositional Concept Modeling for Enhancing Visio-Linguistic Compositionality
ACL 2026
Cross-modal Representation Learning for Diffusion-generated Image Detection
CVPR 2026
Cross-Prompt Automated Essay Scoring of Multiple Traits: Making Sense of the State of the Art
ACL 2026
Cross-Sample Augmented Test-Time Adaptation for Personalized Intraoperative Hypotension Prediction
AAAI 2026
Cross-Sectional Conditional Independence in Stationary Time Series: Graphical Equivalence and Completeness of Collider Separation
CLeaR 2026
Cross-View Progressive Feature Filtering for Multi-View Graph Clustering in Remote Sensing
AAAI 2026
CSECU-DSG at SemEval-2026 Task 6: Imbalance-Aware Transformers for Unmasking Political Question Evasions
SemEval 2026
CSE-UOI at SemEval-2026 Task 6: A Two-Stage Heterogeneous Ensemble with Deliberative Complexity Gating for Political Evasion Detection
SemEval 2026
CSPB: Conversational Speech Processing Benchmark for Self-supervised Speech Models
EACL 2026
CycleChemist: A Dual-Pronged Machine Learning Framework for Organic Photovoltaic Discovery
AAAI 2026
Cycle-Consistent Multi-Graph Matching for Self-Supervised Annotation of C. Elegans
WACV 2026
CycleManip: Enabling Cycle-based Manipulation via Effective History Perception and Understanding
CVPR 2026
Cyto-SSL: A Self-Supervised Pretraining Framework for Cytology Foundation Model
AAAI 2026
CYUT at SemEval-2026 Task 9: Monolingual vs. Multilingual LoRA Tuning for Multicultural and Multievent Polarization Detection
SemEval 2026
D2MoRA: Diversity-Regulated Asymmetric MoE-LoRA Decomposition for Efficient Multi-Task Adaptation
AAAI 2026
D^3FER: Dual Channel and Dual Branch Network for Robust Facial Expression Recognition under Dual Challenges
CVPR 2026
DAMASHA: Detecting AI in Mixed Adversarial Texts via Segmentation with Human-interpretable Attribution
EACL 2026