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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)

A Deployed Online Reinforcement Learning Algorithm in an Oral Health Clinical Trial AAAI 2025 ADEPT: Hierarchical Bayes Approach to Personalized Federated Unsupervised Learning AISTATS 2025 ADEPT-SQL: A High-performance Text-to-SQL Application for Real-World Enterprise-Level Databases ACL 2025 Ad-hoc Concept Forming in the Game Codenames as a Means for Evaluating Large Language Models ACL 2025 A Differential Inclusion Approach for Learning Heterogeneous Sparsity in Neuroimaging Analysis AISTATS 2025 A Disaggregated Dataset on English Offensiveness Containing Spans EMNLP 2025 AdMiT: Adaptive Multi-Source Tuning in Dynamic Environments CVPR 2025 ADO: Automatic Data Optimization for Inputs in LLM Prompts ACL 2025 AdParaphrase v2.0: Generating Attractive Ad Texts Using a Preference-Annotated Paraphrase Dataset ACL 2025 ADU: Adaptive Detection of Unknown Categories in Black-Box Domain Adaptation CVPR 2025 A Dual Contrastive Learning Framework for Enhanced Hate Speech Detection in Low-Resource Languages COLING 2025 A Dual Contrastive Learning Framework for Enhanced Multimodal Conversational Emotion Recognition COLING 2025 A Dual-Perspective NLG Meta-Evaluation Framework with Automatic Benchmark and Better Interpretability ACL 2025 Advacheck at GenAI Detection Task 1: AI Detection Powered by Domain-Aware Multi-Tasking COLING 2025 Advances in Auto-Grading with Large Language Models: A Cross-Disciplinary Survey ACL 2025 Advancing African-Accented English Speech Recognition: Epistemic Uncertainty-Driven Data Selection for Generalizable ASR Models ACL 2025 Advancing Audio-Based Text Generation with Imbalance Preference Optimization AAAI 2025 Advancing Comprehensive Aesthetic Insight with Multi-Scale Text-Guided Self-Supervised Learning AAAI 2025 Advancing E-commerce Merchants Telemarketing with Synthetic Data-Driven LLMs EMNLP 2025 Advancing Fairness in Precision Medicine: A Universal Framework for Optimal Treatment Estimation in Censored Data AISTATS 2025 Advancing Fine-Grained Visual Understanding with Multi-Scale Alignment in Multi-Modal Models EMNLP 2025 Advancing Generalizable Tumor Segmentation with Anomaly-Aware Open-Vocabulary Attention Maps and Frozen Foundation Diffusion Models CVPR 2025 Advancing Language Models through Instruction Tuning: Recent Progress and Challenges EMNLP 2025 Advancing LLM Reasoning Generalists with Preference Trees ICLR 2025 Advancing Multilingual Speaker Identification and Verification for Indo-Aryan and Dravidian Languages COLING 2025