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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)

DANS-KGC: Diffusion Based Adaptive Negative Sampling for Knowledge Graph Completion AAAI 2026 DarkFarseer: Robust Spatio-Temporal Kriging Under Graph Sparsity and Noise AAAI 2026 DARLING: Dual Hypergraph-Enhanced Curriculum-Guided Graph Structure Learning for Node Classification AAAI 2026 Data-driven Acceleration of MPC with Guarantees L4DC 2026 Data-Driven Lipschitz Continuity: A Cost-Effective Approach to Improve Adversarial Robustness WACV 2026 Data Heterogeneity and Forgotten Labels in Split Federated Learning AAAI 2026 DATTA: Domain-Adversarial Test-Time Adaptation for Cross-Domain WiFi-Based Human Activity Recognition WACV 2026 DBGroup: Dual-Branch Point Grouping for Weakly Supervised 3D Semantic Instance Segmentation AAAI 2026 DcMatch: Unsupervised Multi-Shape Matching with Dual-Level Consistency AAAI 2026 DCoAR: Deep Concept Injection into Unified Autoregressive Models for Personalized Text-to-Image Generation CVPR 2026 DC-SPAN: A Dual Contrastive Attention Network for Multi-View Clustering AAAI 2026 DDSF: Robust Few-Shot Learning via Disentangled Subspaces with Determinantal Point Process CVPR 2026 Debiased Cognitive Diagnosis: A Contrastive Counterfactual Modeling Method via Variational Autoencoder AAAI 2026 Debiased Dual-Invariant Defense for Adversarially Robust Person Re-Identification AAAI 2026 Debiased Orthogonal Boundary-Driven Efficient Noise Mitigation ACL 2026 Debiased Sample Selection for Learning with Noisy Labels CVPR 2026 Decision Boundary-aware Generation for Long-tailed Learning CVPR 2026 Decompose and Attribute: Boosting Generalizable Open-Set Object Detection via Objectness Score AAAI 2026 Decompose and Conquer: Compositional Reasoning for Zero-Shot Temporal Action Localization AAAI 2026 Decomposing and Composing: Towards Efficient Vision-Language Continual Learning via Rank-1 Expert Pool in a Single LoRA AAAI 2026 Decomposing Prompts, Composing Actions: A Multi-Granularity Prompting Approach for Incremental Action Learning AAAI 2026 Decomposing the Neurons: Activation Sparsity via Mixture of Experts for Continual Test Time Adaptation AAAI 2026 Decomposition Sampling for Efficient Region Annotations in Active Learning WACV 2026 DeCoRL: Decoupling Reasoning Chains via Parallel Sub-Step Generation and Cascaded Reinforcement for Interpretable and Scalable RLHF AAAI 2026 Decoupling Continual Semantic Segmentation AAAI 2026