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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)

SoftCoT: Soft Chain-of-Thought for Efficient Reasoning with LLMs ACL 2025 SoftCVI: Contrastive variational inference with self-generated soft labels ICLR 2025 Soft Self-labeling and Potts Relaxations for Weakly-supervised Segmentation CVPR 2025 Soft Separation and Distillation: Toward Global Uniformity in Federated Unsupervised Learning ICCV 2025 Soft Token Attacks Cannot Reliably Audit Unlearning in Large Language Models EMNLP 2025 SOLA-GCL: Subgraph-Oriented Learnable Augmentation Method for Graph Contrastive Learning AAAI 2025 Solar Multimodal Transformer: Intraday Solar Irradiance Predictor using Public Cameras and Time Series WACV 2025 SOLAR: Serendipity Optimized Language Model Aligned for Recommendation EMNLP 2025 SOLID: Self-seeding and Multi-intent Self-instructing LLMs for Generating Intent-aware Information-Seeking Dialogs NAACL 2025 Solid-SQL: Enhanced Schema-linking based In-context Learning for Robust Text-to-SQL COLING 2025 Solving Instance Detection from an Open-World Perspective CVPR 2025 Solving Robust Markov Decision Processes: Generic, Reliable, Efficient AAAI 2025 SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning CVPR 2025 SOMD 2025: Fine-tuning ModernBERT for In- and Out-of-Distribution NER and Relation Extraction of Software Mentions in Scientific Texts ACL 2025 Something’s Fishy in the Data Lake: A Critical Re-evaluation of Table Union Search Benchmarks ACL 2025 Sonata: Self-Supervised Learning of Reliable Point Representations CVPR 2025 SongEditor: Adapting Zero-Shot Song Generation Language Model as a Multi-Task Editor AAAI 2025 SOPL: A Sequential Optimal Learning Approach to Automated Prompt Engineering in Large Language Models EMNLP 2025 SORREL: Suboptimal-Demonstration-Guided Reinforcement Learning for Learning to Branch AAAI 2025 SoT: Structured-of-Thought Prompting Guides Multilingual Reasoning in Large Language Models EMNLP 2025 SoundMind: RL-Incentivized Logic Reasoning for Audio-Language Models EMNLP 2025 SourceDetMamba: A Graph-aware State Space Model for Source Detection in Sequential Hypergraphs IJCAI 2025 Sources of Disagreement in Data for LLM Instruction Tuning COLING 2025 SPACE: SPAtial-Aware Consistency rEgularization for Anomaly Detection in Industrial Applications WACV 2025 Span Labeling with Large Language Models: Shell vs. Meat ACL 2025