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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)

Exploring Language Model Generalization in Low-Resource Extractive QA COLING 2025 Exploring Large Language Models for Detecting Mental Disorders EMNLP 2025 Exploring Large Language Models for Hate Speech Detection in Rioplatense Spanish NAACL 2025 Exploring Limitations of LLM Capabilities with Multi-Problem Evaluation NAACL 2025 Exploring LLM Priming Strategies for Few-Shot Stance Classification ACL 2025 Exploring LLMs’ Ability to Spontaneously and Conditionally Modify Moral Expressions through Text Manipulation ACL 2025 Exploring Multimodal Foundation AI and Expert-in-the-Loop for Sustainable Management of Wild Salmon Fisheries in Indigenous Rivers IJCAI 2025 Exploring Multimodal Relation Extraction of Hierarchical Tabular Data with Multi-task Learning ACL 2025 Exploring Paraphrasing Strategies for CEFR A1-Level Constraints in LLMs EMNLP 2025 Exploring Persona Sentiment Sensitivity in Personalized Dialogue Generation ACL 2025 Exploring Quality and Diversity in Synthetic Data Generation for Argument Mining EMNLP 2025 Exploring Query Efficient Data Generation Towards Data-Free Model Stealing in Hard Label Setting AAAI 2025 Exploring Rationale Learning for Continual Graph Learning AAAI 2025 Exploring Response Uncertainty in MLLMs: An Empirical Evaluation under Misleading Scenarios EMNLP 2025 Exploring Scalability of Self-Training for Open-Vocabulary Temporal Action Localization WACV 2025 Exploring Scene Affinity for Semi-Supervised LiDAR Semantic Segmentation CVPR 2025 Exploring Semantic Consistency and Style Diversity for Domain Generalized Semantic Segmentation AAAI 2025 Exploring Semantic Feature Discrimination for Perceptual Image Super-Resolution and Opinion-Unaware No-Reference Image Quality Assessment CVPR 2025 Exploring Semantic Filtering Heuristics For Efficient Claim Verification ACL 2025 Exploring Semantic Masked Autoencoder for Self-supervised Point Cloud Understanding IJCAI 2025 Exploring smaller batch sizes for a high-performing BabyLM model architecture EMNLP 2025 Exploring Sparse MoE in GANs for Text-conditioned Image Synthesis CVPR 2025 Exploring Supervised Approaches to the Detection of Anthropomorphic Language in the Reporting of NLP Venues ACL 2025 Exploring Temporal Event Cues for Dense Video Captioning in Cyclic Co-Learning AAAI 2025 Exploring Temporally-Aware Features for Point Tracking CVPR 2025