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Learning Types

56,253 papers (3 classified directly here)

Subtopics · a paper can sit in several, so these overlap

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)

Papers per year

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20
220
477
4,652
9,258
2000
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Papers (including subtopics)

HERO: Hierarchical Embedding-Refinement for Open-Vocabulary Temporal Sentence Grounding in Videos CVPR 2026 Heterogeneous Uncertainty-Guided Composed Image Retrieval with Fine-Grained Probabilistic Learning AAAI 2026 Heterophily-aware Contrastive Learning for Heterophilic Hypergraphs AAAI 2026 HFR-MKGC: Hierarchical Fusion Reasoning with MLLMs for Multi-modal Knowledge Graph Completion AAAI 2026 H-GAR: A Hierarchical Interaction Framework via Goal-Driven Observation-Action Refinement for Robotic Manipulation AAAI 2026 HiCL: Hippocampal-Inspired Continual Learning AAAI 2026 Hidden in the Noise: Unveiling Backdoors in Audio LLMs Alignment Through Latent Acoustic Pattern Triggers AAAI 2026 Hide and Seek with LLMs: An Adversarial Game for Sneaky Error Generation and Self-Improving Diagnosis AAAI 2026 Hierarchical Adaptive networks with Task vectors for Test-Time Adaptation WACV 2026 Hierarchical Cross-View Alignment for Multi-View Clustering via Decoupled Information Distillation AAAI 2026 Hierarchical Dataset Selection for High-Quality Data Sharing AAAI 2026 Hierarchically Robust Zero-shot Vision-language Models CVPR 2026 Hierarchical Semantic Alignment for Image Clustering AAAI 2026 High-dimensional Parameter Transfer With Fused-Regularizer JMLR 2026 HiLoMix: Robust High- and Low-Frequency Graph Learning Framework for Mixing Address Association AAAI 2026 HiMo-CLIP: Modeling Semantic Hierarchy and Monotonicity in Vision-Language Alignment AAAI 2026 HLML-SNN：Fast Continual Learning in Spiking Neural Networks Achieved via Hebbian Learning-Driven Meta-Learning AAAI 2026 HogVul: Black-box Adversarial Code Generation Framework Against LM-based Vulnerability Detectors AAAI 2026 HOLO: Holistic Lightweight Optimization for Scene Understanding with Auto-Annotation and Multimodal Learning WACV 2026 HOSIG: Full-Body Human-Object-Scene Interaction Generation with Hierarchical Scene Perception AAAI 2026 How Does the ReLU Activation Affect the Implicit Bias of Gradient Descent on High-dimensional Neural Network Regression? COLT 2026 How Do LLMs Generate Contrastive Sentiments? A Mechanistic Perspective EACL 2026 How PC-based Methods Err: Towards Better Reporting of Assumption Violations and Small Sample Errors UAI 2026 How Predicted Links Influence Network Evolution: Disentangling Choice and Algorithmic Feedback in Dynamic Graphs UAI 2026 How to Train Your Latent Control Barrier Function: Smooth Safety Filtering Under Hard-to-Model Constraints L4DC 2026