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)
Context-Aware Patch Representations for Multiple Instance Learning
MIDL 2026
Contextual Relevance and Adaptive Sampling for LLM-Based Document Reranking
ACL 2026
Continual Neural Topic Model
EACL 2026
Continual Out-of-Distribution Detection with Analytic Neural Collapse
AAAI 2026
Continuous Vision-Language-Action Co-Learning with Semantic-Physical Alignment for Behavioral Cloning
AAAI 2026
Contrastive Learning with Narrative Twins for Modeling Story Salience
EACL 2026
Controlling Path Dependence in Gradient Ascent Unlearning through Forget-Set Ordering
UAI 2026
Convex Clustering Redefined: Robust Learning with the Median of Means Estimator
AAAI 2026
COODetect at SemEval-2026 Task 13: Unsupervised Latent Domain Adaptation for Out-of-Distribution AI Code Detection
SemEval 2026
CORA: Consistency-Guided Semi-Supervised Framework for Reasoning Segmentation
WACV 2026
CoReTab: Improving Multimodal Table Understanding with Code-driven Reasoning
EACL 2026
CorrectNav: Self-Correction Flywheel Empowers Vision-Language-Action Navigation Model
AAAI 2026
Corruptions of Supervised Learning Problems: Typology and Mitigations
JMLR 2026
Co-STAR: Collaborative Curriculum Self-Training with Adaptive Regularization for Source-Free Video Domain Adaptation
WACV 2026
Counterfactual-based Cognitive Alignment In-Context Learning for Relation Extraction
AAAI 2026
Countering Multi-modal Representation Collapse through Rank-targeted Fusion
WACV 2026
CountingDINO: A Training-free Pipeline for Class-Agnostic Counting using Unsupervised Backbones
WACV 2026
Coupling Liquid Time-Constant Encoders with Modern Hopfield Memory
CVPR 2026
CP-CLIP: Customized Parameter Generation for Open-vocabulary Semantic Segmentation
AAAI 2026
CP-FREEZER: Latency Attacks Against Vehicular Cooperative Perception
AAAI 2026
CR³: Boosting Compositional Reasoning in MLLMs Through Rule-Based Reinforcement Learning
AAAI 2026
CRAFT: Aligning Diffusion Models with Fine-Tuning Is Easier Than You Think
CVPR 2026
Crafting Adversarial Inputs for Large Vision-Language Models Using Black-Box Optimization
EACL 2026
Crash2DocAI: Automated Integration of Post-Crash Car Part Images into Technical Reports
WACV 2026
Creating Blank Canvas Against AI-enabled Image Forgery
AAAI 2026