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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)

Blur-Robust Detection via Feature Restoration: An End-to-End Framework for Prior-Guided Infrared UAV Target Detection AAAI 2026 Boosted Control Functions: Distribution Generalization and Invariance in Confounded Models JMLR 2026 Boosting Adversarial Transferability via Ensemble Non-Attention AAAI 2026 Boosting Medical Vision-Language Pretraining via Momentum Self-Distillation under Limited Computing Resources WACV 2026 Boosting the Robustness-Accuracy Trade-off of SNNs by Robust Temporal Self-Ensemble AAAI 2026 Boosting Unsupervised Video Instance Segmentation with Automatic Quality-Guided Self-Training WACV 2026 Boosting with List-Decodable Codes COLT 2026 Bootstrapping LLMs via Preference-Based Policy Optimization AAAI 2026 Bootstrapping Personalized Insulin Therapy via Model-Based Reinforcement Learning: An In Silico Study AAAI 2026 Bot Meets Shortcut: How Can LLMs Aid in Handling Unknown Invariance OOD Scenarios? AAAI 2026 Boundary-Aware LLM Augmentation for Low-Resource Event Argument Extraction EACL 2026 Bounding the Causal Impact of ML-assisted Decision-Making via Counterfactual Correctness UAI 2026 Branch, or Layer? Zeroth-Order Optimization for Continual Learning of Vision-Language Models AAAI 2026 BraSTORM: A Dual-Branch Self-Supervised Framework for EEG Representation Learning via Input-Level Spatio-Temporal Decomposition AAAI 2026 Breaking Bad: Component-Wise Parent Deletion for Score-Based Causal Discovery UAI 2026 Breaking Model Lock-in: Cost-Efficient Zero-Shot LLM Routing via a Universal Latent Space AAAI 2026 Breaking Semantic Boundaries: Distribution-Guided Semantic Exploration for Creative Generation CVPR 2026 Breaking the Adversarial Robustness-Performance Trade-off in Text Classification via Manifold Purification AAAI 2026 Breaking the Modality Barrier: Generative Modeling for Accurate Molecule Retrieval from Mass Spectra AAAI 2026 Breaking the Passive Learning Trap: An Active Perception Strategy for Human Motion Prediction AAAI 2026 Bregman contrastive estimation as a general framework for learning unnormalized models: Efficiency, robustness and optimal noise UAI 2026 BridgeEQA: Virtual Embodied Agents for Real Bridge Inspections CVPR 2026 Bridging Attribution and Open-Set Detection using Graph-Augmented Instance Learning in Synthetic Speech EACL 2026 Bridging Cognitive Gap: Hierarchical Description Learning for Artistic Image Aesthetics Assessment AAAI 2026 Bridging Domain Expertise and Generalization for Performance Estimation CVPR 2026