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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)

Precise Event Spotting in Sports Videos: Solving Long-Range Dependency and Class Imbalance CVPR 2025 Precise High-Dimensional Asymptotics for Quantifying Heterogeneous Transfers JMLR 2025 Precision vs. Perturbation: Robustness Analysis of Synonym Attacks in Ukrainian NLP ACL 2025 PreClinIE: An Annotated Corpus for Information Extraction in Preclinical Studies ACL 2025 Pre-defined Keypoints Promote Category-level Articulation Pose Estimation via Multi-Modal Alignment IJCAI 2025 Predicate-Conditional Conformalized Answer Sets for Knowledge Graph Embeddings ACL 2025 Predicate-Guided Generation for Mathematical Reasoning EMNLP 2025 Predicting Adolescent Suicidal Risk from Multi-task-based Speech: An Ensemble Learning Approach Interspeech 2025 Predicting Depression in Screening Interviews from Interactive Multi-Theme Collaboration ACL 2025 Predicting Fine-tuned Performance on Larger Datasets Before Creating Them COLING 2025 Predicting ICU Length of Stay for Patients using Latent Categorization of Health Conditions NAACL 2025 Predicting Implicit Arguments in Procedural Video Instructions ACL 2025 Predicting Language Models’ Success at Zero-Shot Probabilistic Prediction EMNLP 2025 Predicting Median, Disagreement and Noise Label in Ordinal Word-in-Context Data COLING 2025 Predicting Spectral Information for Self-Supervised Signal Classification IJCAI 2025 Predicting the Energy Landscape of Stochastic Dynamical System via Physics-informed Self-supervised Learning ICLR 2025 Predicting The Scholarly Impact of Research Papers Using Retrieval-Augmented LLMs ACL 2025 Predicting User Behavior in Smart Spaces with LLM-Enhanced Logs and Personalized Prompts AAAI 2025 Prediction-Based Adaptive Variable Ordering Heuristics for Constraint Satisfaction Problems AAAI 2025 Prediction-Centric Uncertainty Quantification via MMD AISTATS 2025 Predictive Monitoring of Black-Box Dynamical Systems L4DC 2025 Predict-Optimize-Distill: A Self-Improving Cycle for 4D Object Understanding ICCV 2025 Preference Consistency Matters: Enhancing Preference Learning in Language Models with Automated Self-Curation of Training Corpora NAACL 2025 Preference Elicitation for Multi-objective Combinatorial Optimization with Active Learning and Maximum Likelihood Estimation IJCAI 2025 Preference Elicitation for Offline Reinforcement Learning ICLR 2025