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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)

Generalization Bounds for Semi-supervised Matrix Completion with Distributional Side Information AAAI 2026 Generalized Distribution-Free Semi-Supervised Learning with Risk Rewrite UAI 2026 Generalized-Scale Object Counting with Gradual Query Aggregation AAAI 2026 Generalizing Abstention for Noise-Robust Learning in Medical Image Segmentation MIDL 2026 Generative Personality Simulation via Theory-Informed Structured Interview EACL 2026 GeoCoBox: Box-supervised 3D Tumor Segmentation via Geometric Co-embedding AAAI 2026 Geometric Correspondence Constrained Pseudo-Label Alignment for Source-Free Domain Adaptive Fundus Image Segmentation AAAI 2026 Global Convergence of Average Reward Constrained MDPs with Neural Critic and General Policy Parameterization UAI 2026 Goal Force: Teaching Video Models To Accomplish Physics-Conditioned Goals CVPR 2026 GOAL: Geometrically Optimal Alignment for Continual Generalized Category Discovery AAAI 2026 Good Gradients Poison Your Model: Evading Defenses in Federated Learning via Boundary-adaptive Perturbation AAAI 2026 GorillaWatch: An Automated System for In-the-Wild Gorilla Re-Identification and Population Monitoring WACV 2026 Gotta Hear Them All: Towards Sound Source Aware Audio Generation AAAI 2026 Gradient-Variation Regret Bounds for Unconstrained Online Learning COLT 2026 GRAM-R²: Self-Training Generative Foundation Reward Models for Reward Reasoning AAAI 2026 Graph Attention Prototypical Network for Robust Few-Shot Classification CVPR 2026 Graph-augmented and Over-smoothing-resistant Contrastive Clustering for Short Text AAAI 2026 Graph-based Label-Efficient Learning: When Graph-Structured Data Meets Limited Labels AAAI 2026 Graph Contrastive Learning with Balanced Hard Negatives and Fine-grained Semantic-aware Positives AAAI 2026 Graph-Dependent Regret Bounds in Multi-Armed Bandits with Interference UAI 2026 Graph neural networks extrapolate out-of-distribution for shortest paths COLT 2026 GraphOracle: Efficient Fully-Inductive Knowledge Graph Reasoning via Relation-Dependency Graphs AAAI 2026 GraphTextack: A Realistic Black-Box Node Injection Attack on LLM-Enhanced GNNs AAAI 2026 Graph-Theoretic Consistency for Robust and Topology-Aware Semi-Supervised Histopathology Segmentation (Student Abstract) AAAI 2026 GREAT: Generalizable Representation Enhancement via Auxiliary Transformations for Zero-Shot Environmental Prediction AAAI 2026