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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)

Relieving Universal Label Noise for Unsupervised Visible-Infrared Person Re-Identification by Inferring from Neighbors AAAI 2025 RELOCATE: A Simple Training-Free Baseline for Visual Query Localization Using Region-Based Representations CVPR 2025 REM: A Scalable Reinforced Multi-Expert Framework for Multiplex Influence Maximization AAAI 2025 ReME: A Data-Centric Framework for Training-Free Open-Vocabulary Segmentation ICCV 2025 ReMix: Training Generalized Person Re-Identification on a Mixture of Data WACV 2025 ReMoGPT: Part-Level Retrieval-Augmented Motion-Language Models AAAI 2025 Removal of Hallucination on Hallucination: Debate-Augmented RAG ACL 2025 Removing Geometric Bias in One-Class Anomaly Detection with Adaptive Feature Perturbation WACV 2025 Removing Prompt-template Bias in Reinforcement Learning from Human Feedback ACL 2025 ReMP-AD: Retrieval-enhanced Multi-modal Prompt Fusion for Few-Shot Industrial Visual Anomaly Detection ICCV 2025 RenderBender: A Survey on Adversarial Attacks Using Differentiable Rendering IJCAI 2025 ReNeg: Learning Negative Embedding with Reward Guidance CVPR 2025 ReNovo: Retrieval-Based \emph{De Novo} Mass Spectrometry Peptide Sequencing ICLR 2025 Reparameterizing Hybrid Markov Logic Networks to handle Covariate-Shift in Representations UAI 2025 REPA: Russian Error Types Annotation for Evaluating Text Generation and Judgment Capabilities ACL 2025 REPEAT: Improving Uncertainty Estimation in Representation Learning Explainability AAAI 2025 RepeatLeakage: Leak Prompts from Repeating as Large Language Model Is a Good Repeater AAAI 2025 ReplayCAD: Generative Diffusion Replay for Continual Anomaly Detection IJCAI 2025 Replicating Electoral Success AAAI 2025 Replication-proof Bandit Mechanism Design with Bayesian Agents AAAI 2025 Rep-MTL: Unleashing the Power of Representation-level Task Saliency for Multi-Task Learning ICCV 2025 RepObE: Representation Learning-Enhanced Obfuscation Encryption Modular Semantic Task Framework IJCAI 2025 Representation Bending for Large Language Model Safety ACL 2025 Representation-driven Option Discovery in Reinforcement Learning AAAI 2025 Representation Learning with Mutual Influence of Modalities for Node Classification in Multi-Modal Heterogeneous Networks IJCAI 2025