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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)

Just Pass Twice: Efficient Token Classification with LLMs for Zero-Shot NER ACL 2026 KASER: Knowledge-Aligned Student Error Simulator for Open-Ended Coding Tasks ACL 2026 Keep On Going: Learning Robust Humanoid Motion Skills via Selective Adversarial Training AAAI 2026 KG-CRAFT: Knowledge Graph-based Contrastive Reasoning with LLMs for Enhancing Automated Fact-checking EACL 2026 Khan-GCL: Kolmogorov–Arnold Network Based Graph Contrastive Learning with Hard Negatives AAAI 2026 K-Merge: Online Continual Merging of Adapters for On-device Large Language Models ACL 2026 KNNDA: A New Perspective of Alignment Recovery for Partially View-Aligned Clustering AAAI 2026 Knowing What’s Missing: Assessing Information Sufficiency in Question Answering EACL 2026 Knowledge Augmentation Enhances Token Classification for Recipe Understanding EACL 2026 Knowledge Beyond Language: Bridging the Gap in Multilingual Machine Unlearning Evaluation ACL 2026 Knowledge-Enhanced Explainable Prompting for Vision-Language Models AAAI 2026 Knowledge-Enhanced Image Captioning with Adaptive Graph-based Multimodal Alignment and LLM AAAI 2026 Knowledge is Not Enough: Injecting RL Skills for Continual Adaptation ACL 2026 Know Your Neighbors: Subgraph Importance Sampling for Heterophilic Graph Active Learning AAAI 2026 KOALA: Knowledge of Optimization and Learning Algorithms for Healthcare AAAI 2026 Koopman Invariants as Drivers of Emergent Time-Series Clustering in Joint-Embedding Predictive Architectures AAAI 2026 KPDM: Key Phrase Dynamic Masking for Robust Text-to-Image Person Retrieval AAAI 2026 K-ProtoDiff: Key Prototypes-Guided Diffusion for Time Series Generation AAAI 2026 KSS-MoE: Knowledge Space Synergy Framework in Mixture of Experts for Continual Visual Instruction Tuning AAAI 2026 K-STaR: Knowledge-Aware Self-Taught Reasoner AAAI 2026 KvochurHegel at AbjadMed: Combining LDAM Loss and Adversarial Training for Arabic Medical Question-Answer Classification EACL 2026 Label What Matters: Modality-Balanced and Difficulty-Aware Multimodal Active Learning CVPR 2026 LaDy: Lagrangian-Dynamic Informed Network for Skeleton-based Action Segmentation via Spatial-Temporal Modulation CVPR 2026 LaF-GRPO: In-Situ Navigation Instruction Generation for the Visually Impaired via GRPO with LLM-as-Follower Reward AAAI 2026 LAMP: Learning Universal Adversarial Perturbations for Multi-Image Tasks via Pre-trained Models AAAI 2026