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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)

Principled Content Selection to Generate Diverse and Personalized Multi-Document Summaries ACL 2025 Principled Penalty-based Methods for Bilevel Reinforcement Learning and RLHF JMLR 2025 Principled Personas: Defining and Measuring the Intended Effects of Persona Prompting on Task Performance EMNLP 2025 Prior2Former - Evidential Modeling of Mask Transformers for Assumption-Free Open-World Panoptic Segmentation ICCV 2025 Prior-Constrained Association Learning for Fine-Grained Generalized Category Discovery AAAI 2025 Prior-Dependent Allocations for Bayesian Fixed-Budget Best-Arm Identification in Structured Bandits AISTATS 2025 Prior-Fitted Networks Scale to Larger Datasets When Treated as Weak Learners AISTATS 2025 Prioritized Generative Replay ICLR 2025 PRIORITY2REWARD: Incorporating Healthworker Preferences for Resource Allocation Planning AAAI 2025 Prior Prompt Engineering for Reinforcement Fine-Tuning EMNLP 2025 PRISM: Efficient Long-Range Reasoning With Short-Context LLMs EMNLP 2025 PrismRAG: Boosting RAG Factuality with Distractor Resilience and Strategized Reasoning EMNLP 2025 PRISM: Reducing Spurious Implicit Biases in Vision-Language Models with LLM-Guided Embedding Projection ICCV 2025 Privacy Amplification by Structured Subsampling for Deep Differentially Private Time Series Forecasting ICML 2025 Privacy-Aware Lifelong Learning ICLR 2025 Privacy-centric Deep Motion Retargeting for Anonymization of Skeleton-Based Motion Visualization ICCV 2025 Privacy in Metalearning and Multitask Learning: Modeling and Separations AISTATS 2025 Privately Counting Partially Ordered Data ICLR 2025 Private Mechanism Design via Quantile Estimation ICLR 2025 PRMBench: A Fine-grained and Challenging Benchmark for Process-Level Reward Models ACL 2025 Proactive Data-driven Scheduling of Business Processes IJCAI 2025 Proactive Guidance of Multi-Turn Conversation in Industrial Search ACL 2025 ProAPO: Progressively Automatic Prompt Optimization for Visual Classification CVPR 2025 Probabilistic Conformal Prediction with Approximate Conditional Validity ICLR 2025 Probabilistic Language-Image Pre-Training ICLR 2025