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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)

Partial Causal Structure Learning for Valid Selective Conformal Inference under Interventions UAI 2026 ParticleGS: Learning Neural Gaussian Particle Dynamics from Videos for Prior-free Physical Motion Extrapolation CVPR 2026 Partition Function Estimation under Bounded f-Divergence COLT 2026 PAR: Training-Free Positional Perturbation and Attention Recycling for Faithful OCR ACL 2026 Patch Your Matcher: Correspondence-Aware Image-to-Image Translation Unlocks Cross-Modal Matching via Single-Modality Priors WACV 2026 Patho-AgenticRAG: Towards Multimodal Agentic Retrieval-Augmented Generation for Pathology VLMs via Reinforcement Learning AAAI 2026 Patho-R1: A Multimodal Reinforcement Learning-Based Pathology Expert Reasoner AAAI 2026 PAUL: Uncertainty-Guided Partition and Augmentation for Robust Cross-View Geo-Localization under Noisy Correspondence CVPR 2026 P-Check: Advancing Personalized Reward Model via Learning to Generate Dynamic Checklist ACL 2026 PCSR: Pseudo-label Consistency-Guided Sample Refinement for Noisy Correspondence Learning AAAI 2026 PCU: Perturbation-Calibrated Uncertainty for Unsupervised Anomaly Detection UAI 2026 PDR: A Plug-and-Play Positional Decay Framework for LLM Pre-training Data Detection ACL 2026 PDV: Prompt Directional Vectors for Zero-shot Composed Image Retrieval WACV 2026 PEaRL: Pathway-Enhanced Representation Learning for Gene and Pathway Expression Prediction from Histology WACV 2026 PEOCH: Online Cross-Modal Hashing with Semi-Supervised Streaming Data Driving Prototype Evolution AAAI 2026 PepCCD: A Contrastive Conditioned Diffusion Framework for Target-Specific Peptide Generation AAAI 2026 Perceive, Act and Correct: Confidence Is Not Enough for Hyperspectral Classification AAAI 2026 Persistent Backdoor Attacks Under Continual Fine-Tuning of LLMs AAAI 2026 Persona-driven Simulation of Voting Behavior in the European Parliament with Large Language Models EACL 2026 Perspective from a Broader Context: Can Room Style Knowledge Help Visual Floorplan Localization? AAAI 2026 Perspicere at SemEval-2026 Task 2: Modeling Longitudinal Valence and Arousal via Dense Embeddings and Agentic Reasoning SemEval 2026 Perturbing to Preserve: Defending Fragile Knowledge in Online Continual Learning AAAI 2026 pfr821 at SemEval-2026 Task 9: Multilingual Polarization Detection via Hybrid XLM-RoBERTa with Targeted Data Augmentation and Imbalance-Aware Training SemEval 2026 PFW at SemEval-2026 Task 6: Multi-Seed DeBERTa Ensembles for Political Response Clarity and Evasion Classification SemEval 2026 PGA: Prior-free Generative Attack for Practical No-box Scenario CVPR 2026