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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)

On The Complexity of Best-Arm Identification in Non-Stationary Linear Bandits COLT 2026 On the Convergence of Self-Improving Online LLM Alignment UAI 2026 On the Curse of Dimensionality in Private Sparse Covariance Estimation and PCA COLT 2026 On the Effect of Hyperparameters in Language Modeling for Computational Linguistics ACL 2026 On the Effect of Sampling Diversity in Scaling LLM Inference UAI 2026 On the Granularity of Causal Effect Identifiability UAI 2026 On the Importance of Randomization in Discriminative Feature Feedback COLT 2026 On the Relevance of Byzantine Robust Optimization Against Data Poisoning JMLR 2026 On the Role of Transformer Feed-Forward Layers in Nonlinear In-Context Learning ALT 2026 On the Sublinear Regret of Continuous K-Max Bandits UAI 2026 On Transportability for Structural Causal Bandits UAI 2026 OpenCowID: Zero-Shot Visual Identification of Dairy Cows WACV 2026 Open Problem: Is Interaction Necessary for Order-Optimal 1-bit Mean Estimation? COLT 2026 Open-World Deepfake Attribution via Confidence-Aware Asymmetric Learning AAAI 2026 OPLoRA: Orthogonal Projection LoRA Prevents Catastrophic Forgetting During Parameter-Efficient Fine-Tuning AAAI 2026 Optical Diffraction-based Convolution for Semiconductor Lithography CVPR 2026 Optimal control of the future via prospective learning with control L4DC 2026 Optimal Learning Rate Schedules under Functional Scaling Laws: Power Decay and Warmup–Stable–Decay (Extended Abstract) COLT 2026 Optimal Variance-Dependent Regret Bounds for Infinite-Horizon MDPs COLT 2026 Optimism Stabilizes Thompson Sampling for Adaptive Inference COLT 2026 Optimized Algorithms for Text Clustering with LLM-Generated Constraints AAAI 2026 Optimizing User Profiles via Contextual Bandits for Retrieval-Augmented LLM Personalization ACL 2026 Optimizing What We Trust: Reliability-Guided QUBO Selection of Multi-Agent Weak Framing Signals for Arabic Sentiment Prediction EACL 2026 Ordinal-Aware Multimodal Engagement Recognition for Collaborative Learning WACV 2026 ORSO QGen: Odds-Ratio Steerable Optimization for Controlling Question Generation EACL 2026