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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
9,258
2000
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Papers (including subtopics)

Probabilistic Prompt Distribution Learning for Animal Pose Estimation CVPR 2025 Probabilistic Prototype Calibration of Vision-language Models for Generalized Few-shot Semantic Segmentation ICCV 2025 Probabilistic Satisfaction of Temporal Logic Constraints in Reinforcement Learning via Adaptive Policy-Switching L4DC 2025 Probabilistic Shielding for Safe Reinforcement Learning AAAI 2025 Probability-Consistent Preference Optimization for Enhanced LLM Reasoning ACL 2025 Probability-Density-aware Semi-supervised Learning AAAI 2025 Probability Distribution Collapse: A Critical Bottleneck to Compact Unsupervised Neural Grammar Induction EMNLP 2025 Probability-Raising Causality for Uncertain Parametric Markov Decision Processes with PAC Guarantees UAI 2025 Probably Approximately Global Robustness Certification ICML 2025 Probing and Boosting Large Language Models Capabilities via Attention Heads EMNLP 2025 Probing for Arithmetic Errors in Language Models EMNLP 2025 Probing-RAG: Self-Probing to Guide Language Models in Selective Document Retrieval NAACL 2025 Probing the Mid-level Vision Capabilities of Self-Supervised Learning CVPR 2025 Problem-dependent Regret for Lexicographic Multi-Armed Bandits with Adversarial Corruptions IJCAI 2025 Problem-Solving Logic Guided Curriculum In-Context Learning for LLMs Complex Reasoning ACL 2025 Procedural Environment Generation for Tool-Use Agents EMNLP 2025 Procedural Synthesis of Synthesizable Molecules ICLR 2025 Process-based Self-Rewarding Language Models ACL 2025 Process-Supervised Reinforcement Learning for Code Generation EMNLP 2025 ProductAgent: Benchmarking Conversational Product Search Agent with Asking Clarification Questions EMNLP 2025 Profiler: Black-box AI-generated Text Origin Detection via Context-aware Inference Pattern Analysis EMNLP 2025 Profiling LLM’s Copyright Infringement Risks under Adversarial Persuasive Prompting EMNLP 2025 Profiling neural grammar induction on morphemically tokenised child-directed speech NAACL 2025 Programming Every Example: Lifting Pre-training Data Quality Like Experts at Scale ICML 2025 Program Synthesis Benchmark for Visual Programming in XLogoOnline Environment ACL 2025