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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)

Cap2Aug: Caption Guided Image Data Augmentation WACV 2025 CAP: A General Algorithm for Online Selective Conformal Prediction with FCR Control JMLR 2025 CapArena: Benchmarking and Analyzing Detailed Image Captioning in the LLM Era ACL 2025 CAP: Conformalized Abstention Policies for Context-Adaptive Risk Management for LLMs and VLMs ACML 2025 CapeX: Category-Agnostic Pose Estimation from Textual Point Explanation ICLR 2025 CAPO: Confidence Aware Preference Optimization Learning for Multilingual Preferences IJCNLP 2025 CAPrompt: Cyclic Prompt Aggregation for Pre-Trained Model Based Class Incremental Learning AAAI 2025 CAPSTONE: Composable Attribute‐Prompted Scene Translation for Zero‐Shot Vision–Language Reasoning EMNLP 2025 Captioning for Text-Video Retrieval via Dual-Group Direct Preference Optimization EMNLP 2025 Captured by Captions: On Memorization and its Mitigation in CLIP Models ICLR 2025 CAPTURE: Evaluating Spatial Reasoning in Vision Language Models via Occluded Object Counting ICCV 2025 Capture Global Feature Statistics for One-Shot Federated Learning AAAI 2025 Capturing Individuality and Commonality Between Anchor Graphs for Multi-View Clustering IJCAI 2025 Capturing Online SRC/ORC Effort with Memory Measures from a Minimalist Parser NAACL 2025 Capturing the Unseen: Vision-Free Facial Motion Capture Using Inertial Measurement Units AAAI 2025 Capybara at the Financial Misinformation Detection Challenge Task: Chain-of-Thought Enhanced Financial Misinformation Detection COLING 2025 CARE: A Disagreement Detection Framework with Concept Alignment and Reasoning Enhancement EMNLP 2025 CareBot: A Pioneering Full-Process Open-Source Medical Language Model AAAI 2025 CARE: Multilingual Human Preference Learning for Cultural Awareness EMNLP 2025 CARE-STaR: Constraint-aware Self-taught Reasoner ACL 2025 CARFT: Boosting LLM Reasoning via Contrastive Learning with Annotated Chain-of-Thought-based Reinforced Fine-Tuning EMNLP 2025 CARL: Causality-guided Architecture Representation Learning for an Interpretable Performance Predictor ICCV 2025 CARMA: Enhanced Compositionality in LLMs via Advanced Regularisation and Mutual Information Alignment EMNLP 2025 CARMO: Dynamic Criteria Generation for Context Aware Reward Modelling ACL 2025 CASAGPT: Cuboid Arrangement and Scene Assembly for Interior Design CVPR 2025