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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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20
220
477
4,652
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2000
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Papers (including subtopics)

CLUHCS:Dual-View Contrastive Learning Enabled Unsupervised Heterogeneous Community Search with Meta-Path Behavior Modeling AAAI 2026 Cluster-aware Anchor Learning for Multi-View Clustering CVPR 2026 Cluster-Aware Neural Collapse Prompt Tuning for Long-Tailed Generalization of Vision-Language Models CVPR 2026 Cluster-based Pseudo-labeling for Semi-Supervised LiDAR Semantic Segmentation WACV 2026 Cluster-Guided Adversarial Perturbations for Robust Contrastive Learning WACV 2026 Clustering with Self-Learned Graph Regression AAAI 2026 COBALT: Censored Optimization and Bayesian Active Learning Techniques UAI 2026 CoCo-MILP: Inter-Variable Contrastive and Intra-Constraint Competitive MILP Solution Prediction AAAI 2026 Codexa at SemEval-2026 Task 13: Loss Engineering and Diverse Ensemble Strategies for Multi-Class Code Authorship Attribution SemEval 2026 COG: Confidence-aware Optimal Geometric Correspondence for Unsupervised Single-reference Novel Object Pose Estimation CVPR 2026 Cognitive Alpha Mining via LLM-Driven Code-Based Evolution ACL 2026 Cognitively Inspired Developmental Trajectories Improve Explore-Exploit Dynamics in Neural Agent Emergent Communication CoNLL 2026 COGS: A Causal Representation Learning Framework for Out-of-Distribution Generalization in Time Series AAAI 2026 Collaborative Dual Representations for Semi-Supervised Partial Label Learning AAAI 2026 Collaborative Multi-view Learning from Crowds UAI 2026 Commonality in Few: Few-Shot Multimodal Anomaly Detection via Hypergraph-Enhanced Memory AAAI 2026 Compensating Distribution Drifts in Continual Learning with Pre-trained Vision Transformers AAAI 2026 Complexity-aware fine-tuning EACL 2026 Compositional Reasoning via Joint Image and Language Decomposition EACL 2026 Composition-Incremental Learning for Compositional Generalization AAAI 2026 Comprehensive Urban Region Representation Learning via Multi-View Joint Learning and Contrastive Learning AAAI 2026 CONCORD: Concept-Informed Diffusion for Dataset Distillation WACV 2026 Condensed Data Expansion Using Model Inversion for Knowledge Distillation AAAI 2026 Conditional Diffusion Models for Imbalanced Tabular Regression UAI 2026 Conditional Distribution Learning for Graph Classification AAAI 2026