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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)

DreamSAC: Learning Hamiltonian World Models via Symmetry Exploration CVPR 2026 DRFGD: Disentangled Representation-Focused Generative Defense for Attack-Tolerant Cross-Modal Hashing AAAI 2026 Drift-aware Collaborative Assistance Mixture of Experts for Heterogeneous Multistream Learning AAAI 2026 DRIFT: Difference-Aware Reinforcement Through Iterative Fine-Tuning for Language Model AAAI 2026 Drifting Away from Truth: GenAI-Driven News Diversity Challenges LVLM-Based Misinformation Detection AAAI 2026 Drive My Way: Preference Alignment of Vision-Language-Action Model for Personalized Driving CVPR 2026 DRL-ORA: Distributional Reinforcement Learning with Online Epistemic Risk Adaptation UAI 2026 DRM: Diffusion-based Reward Model With Step-wise Guidance CVPR 2026 Dropout Prompt Learning: Towards Robust and Adaptive Vision-Language Models AAAI 2026 Drs.NAS: Ultra-Efficient Neural Architecture Search for Recommendation Systems OSDI 2026 DRSoRec: Dual-Rectification of Social Networks for Recommendation AAAI 2026 DS-ProGen: A Dual-Structure Deep Language Model for Functional Protein Design AAAI 2026 Dual-branch Spatial-Temporal Self-supervised Representation for Enhanced Road Network Learning AAAI 2026 Dual-Domain Multimodal Hyperbolic Fusion for Cardiopulmonary Disease Diagnosis in Emergency Care WACV 2026 Dual-Estimator: Decoupling Global and Local Semantic Shift for Drift Compensation in Class-Incremental Learning CVPR 2026 DualFete: Revisiting Teacher-Student Interactions from a Feedback Perspective for Semi-supervised Medical Image Segmentation AAAI 2026 Dual Graph Disambiguation for Multi-Instance Partial-Label Learning AAAI 2026 Dual-Horizon Interest Model for Unified Search and Recommendation AAAI 2026 Dual-Kernel Graph Community Contrastive Learning AAAI 2026 Dual-Level Confidence based Implicit Self-Refinement for Medical Visual Question Answering CVPR 2026 Dual-Path Knowledge-Augmented Contrastive Alignment Network for Spatially Resolved Transcriptomics AAAI 2026 Dual-Prototype-Guided Multi-task Learning for Unsupervised Anomaly Detection and Classification CVPR 2026 DuGI-MAE: Improving Infrared Mask Autoencoders via Dual-Domain Guidance AAAI 2026 DWTSG: Parameter-Efficient Fine-Tuning of Large Pre-trained Models via Discrete Wavelet Transform and Subband Guidance AAAI 2026 DyBBT: Dynamic Balance via Bandit-inspired Targeting for Dialog Policy with Cognitive Dual Systems ACL 2026