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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)

OG-RAG: Ontology-grounded retrieval-augmented generation for large language models EMNLP 2025 OKG: On-the-Fly Keyword Generation in Sponsored Search Advertising COLING 2025 OldJoe at AVeriTeC: In-context learning for fact-checking ACL 2025 OLMES: A Standard for Language Model Evaluations NAACL 2025 O-MaMa: Learning Object Mask Matching between Egocentric and Exocentric Views ICCV 2025 o-MEGA: Optimized Methods for Explanation Generation and Analysis EMNLP 2025 OMGM: Orchestrate Multiple Granularities and Modalities for Efficient Multimodal Retrieval ACL 2025 OmniAlign-V: Towards Enhanced Alignment of MLLMs with Human Preference ACL 2025 Omni-Angle Assault: An Invisible and Powerful Physical Adversarial Attack on Face Recognition ICML 2025 Omni-Chart-600K: A Comprehensive Dataset of Chart Types for Chart Understanding NAACL 2025 OmniEval: An Omnidirectional and Automatic RAG Evaluation Benchmark in Financial Domain EMNLP 2025 Omni-Query Active Learning for Source-Free Domain Adaptive Cross-Modality 3D Semantic Segmentation AAAI 2025 On A Scale From 1 to 5: Quantifying Hallucination in Faithfulness Evaluation NAACL 2025 On Collaborating Small and Large Models For Few-shot Intent Detection EMNLP 2025 On Constant Regret for Low-Rank MDPs UAI 2025 On Continuous Monitoring of Risk Violations under Unknown Shift UAI 2025 On Crowdsourcing Task Design for Discourse Relation Annotation COLING 2025 On-Device Self-Supervised Learning of Low-Latency Monocular Depth from Only Events CVPR 2025 On-device System of Compositional Multi-tasking in Large Language Models EMNLP 2025 On Discriminative Probabilistic Modeling for Self-Supervised Representation Learning ICLR 2025 One_by_zero@DravidianLangTech 2025: Fake News Detection in Malayalam Language Leveraging Transformer-based Approach NAACL 2025 One_by_zero@ NLU of Devanagari Script Languages 2025: Target Identification for Hate Speech Leveraging Transformer-based Approach COLING 2025 One-Dimensional Object Detection for Streaming Text Segmentation of Meeting Dialogue ACL 2025 One-for-All Few-Shot Anomaly Detection via Instance-Induced Prompt Learning ICLR 2025 One for All: Update Parameterized Knowledge Across Multiple Models with Once Edit ACL 2025