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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)

Hypothesis-Driven Reasoning for Large Language Models AAAI 2026 IAD-R1: Reinforcing Consistent Reasoning in Industrial Anomaly Detection AAAI 2026 ICAD-LLM: One-for-All Anomaly Detection via In-Context Learning with Large Language Models AAAI 2026 ICI Innolabs at SemEval-2026 Task 13: Sliding Windows Meet Code Transformers SemEval 2026 ICT-NLP at SemEval-2026 Task 3: Less Is More — Multilingual Encoder with Joint Training and Adaptive Ensemble for Dimensional Aspect Sentiment Regression SemEval 2026 IDEAL-M3D: Instance Diversity-Enriched Active Learning for Monocular 3D Detection WACV 2026 IdealTSF: Can Non-Ideal Data Contribute to Enhancing the Performance of Time Series Forecasting Models? AAAI 2026 IdeFN: Identifying Unclicked Space False Negatives via Relaxed Partial Optimal Transport for Conversion Rate Prediction AAAI 2026 Identification and Bounding of Central Moments of Causal Effects Using Marginal Moments Information UAI 2026 Identifying and Analyzing Performance-Critical Tokens in Large Language Models AAAI 2026 Identifying Labeling Mechanism in Positive–Unlabeled Learning under Unknown Class Prior UAI 2026 Identity Without Action: Rethinking Collective Action Models in Disinformation Research EACL 2026 IDK-S: Incremental Distributional Kernel for Streaming Anomaly Detection AAAI 2026 IEvoAgent: Evolving Conversational Agent based on User Implicit Feedback ACL 2026 ILSIC: Corpora for Identifying Indian Legal Statutes from Queries by Laymen EACL 2026 iMAD: Intelligent Multi-Agent Debate for Efficient and Accurate LLM Inference AAAI 2026 ImageChain: Advancing Sequential Image-to-Text Reasoning in Multimodal Large Language Models WACV 2026 Image-Text Knowledge Modeling for Unsupervised Multi-Scenario Person Re-Identification AAAI 2026 Imbalanced View Contribution Evaluation and Refinement for Deep Incomplete Multi-View Clustering CVPR 2026 Imitating the Functionality of Image-to-Image Models Using a Single Example WACV 2026 Improved Regret in Stochastic Decision-Theoretic Online Learning under Differential Privacy ALT 2026 Improved Replicable Boosting with Majority-of-Majorities ALT 2026 Improving Calibration in Test-Time Prompt Tuning for Vision-Language Models via Data-Free Flatness-Aware Prompt Pretraining CVPR 2026 Improving Deepfake Detection with Reinforcement Learning-Based Adaptive Data Augmentation AAAI 2026 Improving Generative Methods for Causal Evaluation via Simulation-Based Inference CLeaR 2026