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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)

QMUL at SemEval-2025 Task 11: Explicit Emotion Detection with EmoLex, Feature Engineering, and Threshold-Optimized Multi-Label Classification SemEval 2025 Q-PART: Quasi-Periodic Adaptive Regression with Test-time Training for Pediatric Left Ventricular Ejection Fraction Regression CVPR 2025 QP Based Constrained Optimization for Reliable PINN Training L4DC 2025 qPOTS: Efficient Batch Multiobjective Bayesian Optimization via Pareto Optimal Thompson Sampling AISTATS 2025 QQSUM: A Novel Task and Model of Quantitative Query-Focused Summarization for Review-based Product Question Answering ACL 2025 Qsco: A Quantum Scoring Module for Open-Set Supervised Anomaly Detection AAAI 2025 QSpell 250K: A Large-Scale, Practical Dataset for Chinese Search Query Spell Correction NAACL 2025 Q-STRUM Debate: Query-Driven Contrastive Summarization for Recommendation Comparison ACL 2025 QuACK: A Multipurpose Queuing Algorithm for Cooperative k-Armed Bandits AISTATS 2025 QuackIR: Retrieval in DuckDB and Other Relational Database Management Systems EMNLP 2025 Quadratic Upper Bound for Boosting Robustness ICML 2025 QualBench: Benchmarking Chinese LLMs with Localized Professional Qualifications for Vertical Domain Evaluation EMNLP 2025 QualiSpeech: A Speech Quality Assessment Dataset with Natural Language Reasoning and Descriptions ACL 2025 Quality Assessment of Tabular Data using Large Language Models and Code Generation EMNLP 2025 Quality over Quantity: Boosting Data Efficiency Through Ensembled Multimodal Data Curation AAAI 2025 QuantAttack: Exploiting Quantization Techniques to Attack Vision Transformers WACV 2025 Quantifying and Narrowing the Unknown: Interactive Text-to-Video Retrieval via Uncertainty Minimization ICCV 2025 Quantifying Memorization and Parametric Response Rates in Retrieval-Augmented Vision-Language Models ACL 2025 Quantifying Memorization in Continual Pre-training with Japanese General or Industry-Specific Corpora ACL 2025 Quantifying Semantic Emergence in Language Models ACL 2025 Quantifying the Effectiveness of Linear Preconditioning in Markov Chain Monte Carlo JMLR 2025 Quantized Can Still Be Calibrated: A Unified Framework to Calibration in Quantized Large Language Models ACL 2025 Quantum Best Arm Identification with Quantum Oracles AAAI 2025 QUARTZ: QA-based Unsupervised Abstractive Refinement for Task-oriented Dialogue Summarization EMNLP 2025 QuASAR: A Question-Driven Structure-Aware Approach for Table-to-Text Generation ACL 2025