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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)

A Pseudo-Label Optimization Method Based on Polar Coordinate Modeling and Prior Constraints AAAI 2026 APT: Affine Prototype-Timestamp for Time Series Forecasting Under Distribution Shift AAAI 2026 Archaeology at SemEval-2026 Task 13: Fine-Tuning Pre-Trained Code Models for AI-Generated Code Detection SemEval 2026 ArchetypeTrader: Reinforcement Learning for Selecting and Refining Learnable Strategic Archetypes in Quantitative Trading AAAI 2026 Are All Prompt Components Value-Neutral? Understanding the Heterogeneous Adversarial Robustness of Dissected Prompt in LLMs EACL 2026 A Reasoning Paradigm for Named Entity Recognition AAAI 2026 A Reinforcement Learning Approach in Multi-Phase Second-Price Auction Design JMLR 2026 A Representation Sharpening Framework for Zero Shot Dense Retrieval EACL 2026 ARF-RLHF: Adaptive Reward-Following for RLHF through Emotion-Driven Self-Supervision and Trace-Biased Dynamic Optimization ACL 2026 ARGUS: Defending Against Multimodal Indirect Prompt Injection via Steering Instruction-Following Behavior CVPR 2026 ARGUS: Towards End-to-End Argument Mining with Large Language Models AAAI 2026 ARNS: Adaptive Relation-Aware Negative Sampling with Curriculum Learning for Inductive Knowledge Graph Completion AAAI 2026 ARQUSUMM: Argument-aware Quantitative Summarization of Online Conversations AAAI 2026 Artificial Immune System of Secure Face Recognition Against Adversarial Attacks (Abstract Reprint) AAAI 2026 A Scalable Framework for Automated NER Annotation Correction in Low-Resource Languages EACL 2026 ASC: Learning Augmentation Severity-Consistent Representations Improves Generalization via Augmentation Search WACV 2026 A Selective Under-Sampling (SUS) Method for Imbalanced Regression (Abstract Reprint) AAAI 2026 asetclarity at SemEval-2026 Task 6: An Imbalance-Aware RoBERTa Cross-Encoder for Political Response Clarity Classification SemEval 2026 A Simple and Efficient Learning-Style Prompting for LLM Jailbreaking EACL 2026 A simple, optimal and efficient algorithm for online exp-concave optimization COLT 2026 A Single Stepsize Suffices for Unprojected Linear TD(0): Simultaneous Robust and Fast Rates via Polyak–Ruppert Averaging COLT 2026 A Sobering Look at Tabular Data Generation via Probabilistic Circuits UAI 2026 A Stage-Aware Mixture of Experts Framework for Neurodegenerative Disease Progression Modelling AAAI 2026 AT-Field: Rethinking the Games in Adversarial Training AAAI 2026 A Tight Lower Bound for Non-stochastic Multi-armed Bandits with Expert Advice COLT 2026