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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)

Conditional Information Bottleneck for Multimodal Fusion: Overcoming Shortcut Learning in Sarcasm Detection AAAI 2026 ConeSep: Cone-based Robust Noise-Unlearning Compositional Network for Composed Image Retrieval CVPR 2026 Confidence-Calibrated Small-Large Language Model Collaboration for Cost-Efficient Reasoning EACL 2026 Confidence Leaps in LLM Reasoning: Early Stopping and Cross-Model Transfer EACL 2026 Confidence Should Be Calibrated More Than One Turn Deep ACL 2026 Conformal Online Model Aggregation UAI 2026 Conformal Prediction Sets for Instance Segmentation UAI 2026 Conformal Risk Minimization with Variance Reduction UAI 2026 Conformal Risk Sharing: Certified Cost Allocation with Participation Guarantees UAI 2026 Confusion-Aware Spectral Regularizer for Long-Tailed Recognition CVPR 2026 Conjuring Positive Pairs for Efficient Unification of Representation Learning and Image Synthesis WACV 2026 ConLID: Supervised Contrastive Learning for Low-Resource Language Identification EACL 2026 ConRAS: Contrastive In-context Learning Framework for Retrieval-Augmented Summarization EACL 2026 Consensus Entropy: Harnessing Multi-VLM Agreement for Self-Verifying and Self-Improving OCR CVPR 2026 Consensus Learning with Multi-Party Perturbation Triggers for Secure Model Access AAAI 2026 Consensus vs. Controversy: Mapping the Decision Space Where Architectures Diverge CVPR 2026 ConsistRM: Improving Generative Reward Models via Consistency-Aware Self-Training ACL 2026 Constrained Best Arm Identification with Tests for Feasibility AAAI 2026 Constrained Molecule Generation Modelled Using the Grammar Constraint AAAI 2026 Constraint-Guided Clustering for Identifying in-Vehicle Electronic Control Units from Voltage Data AAAI 2026 Constructing Superior Representations Beyond the Original Documents via a Contrastive Gaussian Fusion Network for Clustering AAAI 2026 ConSurv: Multimodal Continual Learning for Survival Analysis AAAI 2026 Content-aware Information Compression and Selection for Whole Slide Image Analysis AAAI 2026 Content Diversity-guided Ambiguity Mitigation for Open-Set Noisy Label Learning AAAI 2026 Context-aware Graph Meta-learning AAAI 2026