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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)

CanKD: Cross-Attention-based Non-local Operation for Feature-based Knowledge Distillation WACV 2026 Can Natural Image Autoencoders Compactly Tokenize fMRI Volumes for Long-Range Dynamics Modeling? CVPR 2026 Canonical Domain Reduction for Partial Counterfactual Identification UAI 2026 Can Optimal Transport Improve Federated Inverse Reinforcement Learning? L4DC 2026 Can Persona-Prompted LLMs Emulate Subgroup Values? An Empirical Analysis of Generalisability and Fairness in Cultural Alignment ACL 2026 Can Pseudo-Label Be More Reliable? A Simple yet Effective Topology-Aware Graph Self-Training Method AAAI 2026 Can Reasoning Help Large Language Models Capture Human Annotator Disagreement? EACL 2026 Capacity and Redundancy Trade-offs in Multi-Task Learning UAI 2026 CAPE: A CLIP-Aware Pointing Ensemble of Complementary Heatmap Cues for Embodied Reference Understanding WACV 2026 Capturing Classic Authorial Style in Long-Form Story Generation with GRPO Fine-Tuning CoNLL 2026 Capturing Dynamic User Interests Under Modality Imbalance for Multimodal Sequential Recommendation AAAI 2026 CARE: Confidence-aware Ratio Estimation for Medical Biomarkers MIDL 2026 CascadeMind at SemEval-2026 Task 4: A Hybrid Neuro-Symbolic Cascade for Narrative Similarity SemEval 2026 CASL: Curvature-Augmented Self-supervised Learning for 3D Anomaly Detection AAAI 2026 CAST: Evaluating Multi-Object Trackers with Context-Aware Switch and Transfer Scores WACV 2026 Catastrophic Forgetting in Kolmogorov-Arnold Networks AAAI 2026 CATCH: A Controllable Theme Detection Framework with Contextualized Clustering and Hierarchical Generation AAAI 2026 CaT-Diff: Cascaded Text-enhanced Diffusion Model for Time-Series Imputation AAAI 2026 CATP: Contextually Adaptive Token Pruning for Efficient and Enhanced Multimodal In-Context Learning AAAI 2026 Causal Discovery with Metadata-Informed Latent Types UAI 2026 Causal Importance for Physics-Informed Machine Learning CLeaR 2026 CCAHCL: Multi-Level Hypergraph Contrastive Learning for Connected Component Awareness AAAI 2026 CEC-Zero: Zero-Supervision Character Error Correction with Self-Generated Rewards AAAI 2026 Certified but Fooled! Breaking Certified Defenses with Ghost Certificates AAAI 2026 CertMask: Certifiable Defense Against Adversarial Patches via Theoretically Optimal Mask Coverage AAAI 2026