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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)

S²DN: Learning to Denoise Unconvincing Knowledge for Inductive Knowledge Graph Completion AAAI 2025 S²MILE: Semantic-and-Structure-Aware Music-Driven Lyric Generation AAAI 2025 S^3cMath: Spontaneous Step-Level Self-Correction Makes Large Language Models Better Mathematical Reasoners AAAI 2025 S3E: Self-Supervised State Estimation for Radar-Inertial System ICCV 2025 S3PT: Scene Semantics and Structure Guided Clustering to Boost Self-Supervised Pre-Training for Autonomous Driving WACV 2025 s3: You Don’t Need That Much Data to Train a Search Agent via RL EMNLP 2025 S4M: Boosting Semi-Supervised Instance Segmentation with SAM ICCV 2025 SabiYarn: Advancing Low Resource Languages with Multitask NLP Pretraining ACL 2025 SaCa: A Highly Compatible Reinforcing Framework for Knowledge Graph Embedding via Structural Pattern Contrast EMNLP 2025 SA-CLIP: Language Guided Image Spatial and Action Feature Learning EMNLP 2025 SACP: Spatially-Adaptive Conformal Prediction in Uncertainty Quantification of Medical Image Segmentation MIDL 2025 SADA: Semantic Adversarial Unsupervised Domain Adaptation for Temporal Action Localization WACV 2025 SADBA: Self-Adaptive Distributed Backdoor Attack Against Federated Learning AAAI 2025 SADDLe: Sharpness-Aware Decentralized Deep Learning with Heterogeneous Data WACV 2025 SAEs Are Good for Steering – If You Select the Right Features EMNLP 2025 SafeChain: Safety of Language Models with Long Chain-of-Thought Reasoning Capabilities ACL 2025 Safeguard Fine-Tuned LLMs Through Pre- and Post-Tuning Model Merging EMNLP 2025 Safeguarding RAG Pipelines with GMTP: A Gradient-based Masked Token Probability Method for Poisoned Document Detection ACL 2025 SafeKey: Amplifying Aha-Moment Insights for Safety Reasoning EMNLP 2025 Safe Online Convex Optimization with Heavy-Tailed Observation Noises AAAI 2025 SafeRAG: Benchmarking Security in Retrieval-Augmented Generation of Large Language Model ACL 2025 SafeSpeech: A Comprehensive and Interactive Tool for Analysing Sexist and Abusive Language in Conversations NAACL 2025 SAFE-SQL: Self-Augmented In-Context Learning with Fine-grained Example Selection for Text-to-SQL EMNLP 2025 Safety Alignment via Constrained Knowledge Unlearning ACL 2025 SAFREE: Training-Free and Adaptive Guard for Safe Text-to-Image And Video Generation ICLR 2025