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Learning Types

56,253 papers (3 classified directly here)

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)
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Papers (including subtopics)

RealNet: Efficient and Unsupervised Detection of AI-Generated Images via Real-Only Representation Learning AAAI 2026 Real-Time Dynamic Scene Rendering with Controlled Compressibility and Contact Awareness CVPR 2026 Real-Time Path Planning for UAVs in Windy Environments Without Computational Fluid Dynamics AAAI 2026 Real-World Point Tracking with Verifier-Guided Pseudo-Labeling CVPR 2026 Reason2Attack: Jailbreaking Text-to-Image Models via LLM Reasoning AAAI 2026 Reasoning About the Unsaid: Misinformation Detection with Omission-Aware Graph Inference AAAI 2026 Reasoning Palette: Modulating Reasoning via Latent Contextualization for Controllable Exploration for (V)LMs CVPR 2026 Reasoning Structure Matters for Safety Alignment of Reasoning Models ACL 2026 Reasoning via Implicit Self-supervised Emergence for Instruction Segmentation AAAI 2026 Reasoning While Asking: Transforming Reasoning Large Language Models from Passive Solvers to Proactive Inquirers ACL 2026 ReaSon: Reinforced Causal Search with Information Bottleneck for Video Understanding AAAI 2026 Reassessing Active Learning Adoption in Contemporary NLP: A Community Survey EACL 2026 ReBaPL: Repulsive Bayesian Prompt Learning CVPR 2026 ReciFine: Finely Annotated Recipe Dataset for Controllable Recipe Generation EACL 2026 Reciprocal Teaching: Dynamic Multi-Model Teacher-Student Learning for Multiple Noisy Annotations WACV 2026 Rectify Evaluation Preference: Improving LLMs’ Critique on Math Reasoning via Perplexity-aware Reinforcement Learning AAAI 2026 RecToM: A Benchmark for Evaluating Machine Theory of Mind in LLM-based Conversational Recommender Systems AAAI 2026 Recycling History: Efficient Recommendations from Contextual Dueling Bandits ALT 2026 Refine-IQA: Multi-Stage Reinforcement Finetuning for Perceptual Image Quality Assessment AAAI 2026 Refinement Contrastive Learning of Cell–Gene Associations for Unsupervised Cell Type Identification AAAI 2026 RefineVAD: Semantic-Guided Feature Recalibration for Weakly Supervised Video Anomaly Detection AAAI 2026 Refining and Reusing Annotation Guidelines for LLM Annotation ACL 2026 ReflectiveRAG: Rethinking Adaptivity in Retrieval-Augmented Generation EACL 2026 Reflect, Rewrite, Repeat: How Simple Arithmetic Enables Advanced Reasoning in Small Language Models EACL 2026 ReflectRM: Boosting Generative Reward Models via Self-Reflection within a Unified Judgment Framework ACL 2026