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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)

FEVER-OOD: Free Energy Vulnerability Elimination for Robust Out-of-Distribution Detection ICCV 2025 Fewer May Be Better: Enhancing Offline Reinforcement Learning with Reduced Dataset ICLR 2025 Few for Many: Tchebycheff Set Scalarization for Many-Objective Optimization ICLR 2025 Few-Shot Audio-Visual Class-Incremental Learning with Temporal Prompting and Regularization AAAI 2025 Few-Shot Domain Adaptation for Learned Image Compression AAAI 2025 Few-shot domain adaptation for named-entity recognition via joint constrained k-means and subspace selection COLING 2025 Few-Shot Fine-Grained Image Classification with Progressively Feature Refinement and Continuous Relationship Modeling AAAI 2025 Few-Shot Incremental Learning via Foreground Aggregation and Knowledge Transfer for Audio-Visual Semantic Segmentation AAAI 2025 Few-Shot Incremental Multi-modal Learning via Touch Guidance and Imaginary Vision Synthesis IJCAI 2025 Few-Shot, No Problem: Descriptive Continual Relation Extraction AAAI 2025 Few-shot Novel Category Discovery IJCAI 2025 Few-Shot Open-Set Classification via Reasoning-Aware Decomposition EMNLP 2025 Few-Shot Pattern Detection via Template Matching and Regression ICCV 2025 Few-shot Personalized Scanpath Prediction CVPR 2025 Few-Shot Prompting, Full-Scale Confusion: Evaluating Large Language Models for Humor Detection in Croatian Tweets ACL 2025 Few-Shot Recognition via Stage-Wise Retrieval-Augmented Finetuning CVPR 2025 FFCG: Effective and Fast Family Column Generation for Solving Large-Scale Linear Program AAAI 2025 FFR: Frequency Feature Rectification for Weakly Supervised Semantic Segmentation CVPR 2025 FG-CLIP: Fine-Grained Visual and Textual Alignment ICML 2025 FGDGNN: Fine-Grained Dynamic Graph Neural Network for Rumor Detection on Social Media ACL 2025 FG-PRM: Fine-grained Hallucination Detection and Mitigation in Language Model Mathematical Reasoning EMNLP 2025 FIction: 4D Future Interaction Prediction from Video CVPR 2025 Field to Model: Pairing Community Data Collection with Scalable NLP through the LiFE Suite ACL 2025 Fighting Spurious Correlations in Text Classification via a Causal Learning Perspective NAACL 2025 Filling Memory Gaps: Enhancing Continual Semantic Parsing via SQL Syntax Variance-Guided LLMs Without Real Data Replay AAAI 2025