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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)

HP-Edit: A Human-Preference Post-Training Framework for Image Editing CVPR 2026 HQ-SVC: Towards High-Quality Zero-Shot Singing Voice Conversion in Low-Resource Scenarios AAAI 2026 HTG-GCL: Leveraging Hierarchical Topological Granularity from Cellular Complexes for Graph Contrastive Learning AAAI 2026 HU at SemEval-2026 Task 6: A Hybrid Discriminative Modeling of Political Clarity and Evasion SemEval 2026 HuiduRep: A Robust Self-Supervised Framework for Learning Neural Representations from Extracellular Recordings AAAI 2026 Human2Robot: Learning Robot Actions from Paired Human-Robot Videos AAAI 2026 Human-Centric Video Generation via Collaborative Multi-Modal Conditioning AAAI 2026 Human-Corrected Labels Learning: Enhancing Labels Quality via Human Correction of VLMs Discrepancies AAAI 2026 HumanGuideNet: Adapter-Based Alignment of Deep Neural Networks with Human Similarity Judgments WACV 2026 Human-in-the-Loop Eider Duck Counting in Arctic Canada with an Open-Vocabulary Multi-Species Wildlife Detector AAAI 2026 Human Motion Unlearning AAAI 2026 Humans and transformer LMs: Abstraction drives language learning EACL 2026 Hybrid-Domain Adaptative Representation Learning for Gaze Estimation AAAI 2026 Hybrid Neural-LLM Pipeline for Morphological Glossing in Endangered Language Documentation: A Case Study of Jungar Tuvan EACL 2026 Hybrid Routing for a Mixture of LoRA Experts AAAI 2026 HyCoRA: Hyper-Contrastive Role-Adaptive Learning for Role-Playing AAAI 2026 HyperAim: Hypergraph Contrastive Learning with Adaptive Multi-frequency Filters AAAI 2026 Hyperbolic-Enhanced Mixture-of-Experts Mamba for Sequential Recommendation AAAI 2026 Hyperbolic Hierarchical Alignment Reasoning Network for Text-3D Retrieval AAAI 2026 HyperGOOD: Towards Out-of-Distribution Detection in Hypergraphs AAAI 2026 Hypergraph-Based Multi-View Multi-Label Classification via Adaptive High-Order Semantic Fusion AAAI 2026 HyperNoRA: Hyperedge Prediction via Node-Level Relation-Aware Self-Supervised Hypergraph Learning AAAI 2026 Hyper-Opinion Vagueness Quantification for Robust Multimodal Learning AAAI 2026 HyperPose: Hyper-pose Embeddings for 3D-Aware Generative Models with Self-Supervised Disentangling of Pose and Scene WACV 2026 HyperSHAP: Shapley Values and Interactions for Explaining Hyperparameter Optimization AAAI 2026