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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)

RAEncoder: A Label-Free Reversible Adversarial Examples Encoder for Dataset Intellectual Property Protection CVPR 2025 RAG based Question Answering of Korean Laws and Precedents ACL 2025 RAGDiffusion: Faithful Cloth Generation via External Knowledge Assimilation ICCV 2025 RAG-Enhanced Neural Machine Translation of Ancient Egyptian Text: A Case Study of THOTH AI NAACL 2025 RAG+: Enhancing Retrieval-Augmented Generation with Application-Aware Reasoning EMNLP 2025 RAGEval: Scenario Specific RAG Evaluation Dataset Generation Framework ACL 2025 RAGferee: Building Contextual Reward Models for Retrieval-Augmented Generation EMNLP 2025 RAGG: Retrieval-Augmented Grasp Generation Model AAAI 2025 RAG-SR: Retrieval-Augmented Generation for Neural Symbolic Regression ICLR 2025 RAGulator: Effective RAG for Regulatory Question Answering COLING 2025 RAGulator: Lightweight Out-of-Context Detectors for Grounded Text Generation EMNLP 2025 RAG-Zeval: Enhancing RAG Responses Evaluator through End-to-End Reasoning and Ranking-Based Reinforcement Learning EMNLP 2025 RainbowPrompt: Diversity-Enhanced Prompt-Evolving for Continual Learning ICCV 2025 RAISE: Reinforced Adaptive Instruction Selection For Large Language Models EMNLP 2025 RALS: Resources and Baselines for Romanian Automatic Lexical Simplification EMNLP 2025 RAMer: Reconstruction-based Adversarial Model for Multi-party Multi-modal Multi-label Emotion Recognition IJCAI 2025 Random at GenAI Detection Task 3: A Hybrid Approach to Cross-Domain Detection of Machine-Generated Text with Adversarial Attack Mitigation COLING 2025 Random Is All You Need: Random Noise Injection on Feature Statistics for Generalizable Deep Image Denoising ICLR 2025 Randomised Optimism via Competitive Co-Evolution for Matrix Games with Bandit Feedback IJCAI 2025 Randomization Can Reduce Both Bias and Variance: A Case Study in Random Forests JMLR 2025 Random Splitting Negatively Impacts NER Evaluation: Quantifying and Eliminating the Overestimation of NER Performance ACL 2025 RANGE: Retrieval Augmented Neural Fields for Multi-Resolution Geo-Embeddings CVPR 2025 RankAdaptor: Hierarchical Rank Allocation for Efficient Fine-Tuning Pruned LLMs via Performance Model NAACL 2025 Rank-Awareness and Angular Constraints: A New Perspective on Learning Sentence Embeddings from NLI Data EMNLP 2025 RANKCLIP: Ranking-Consistent Language-Image Pretraining ICCV 2025