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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)

Enhancing SAM with Efficient Prompting and Preference Optimization for Semi-supervised Medical Image Segmentation CVPR 2025 Enhancing Security and Strengthening Defenses in Automated Short-Answer Grading Systems ACL 2025 Enhancing Sequential Recommendation with Global Diffusion AAAI 2025 Enhancing Small Language Models for Cross-Lingual Generalized Zero-Shot Classification with Soft Prompt Tuning NAACL 2025 Enhancing Speech Large Language Models with Prompt-Aware Mixture of Audio Encoders EMNLP 2025 Enhancing Study-Level Inference from Clinical Trial Papers via Reinforcement Learning-Based Numeric Reasoning EMNLP 2025 Enhancing Talent Search Ranking with Role-Aware Expert Mixtures and LLM-based Fine-Grained Job Descriptions EMNLP 2025 Enhancing Talk Moves Analysis in Mathematics Tutoring through Classroom Teaching Discourse COLING 2025 Enhancing Temporal Understanding in LLMs for Semi-structured Tables NAACL 2025 Enhancing Text-to-SQL with Question Classification and Multi-Agent Collaboration NAACL 2025 Enhancing the Adversarial Robustness via Manifold Projection AAAI 2025 Enhancing the Comprehensibility of Text Explanations via Unsupervised Concept Discovery ACL 2025 Enhancing the Influence of Labels on Unlabeled Nodes in Graph Convolutional Networks ICML 2025 Enhancing the Prototype Network with Local-to-Global Optimization for Few-Shot Relation Extraction NAACL 2025 Enhancing Training Data Quality through Influence Scores for Generalizable Classification: A Case Study on Sexism Detection IJCNLP 2025 Enhancing Transferability of Audio Adversarial Example for Both Frequency- and Time-domain IJCAI 2025 Enhancing Transferability of Targeted Adversarial Examples via Inverse Target Gradient Competition and Spatial Distance Stretching ICCV 2025 Enhancing Trustworthiness of Graph Neural Networks with Rank-Based Conformal Training AAAI 2025 Enhancing Uncertainty Modeling with Semantic Graph for Hallucination Detection AAAI 2025 Enhancing Unsupervised Sentence Embeddings via Knowledge-Driven Data Augmentation and Gaussian-Decayed Contrastive Learning ACL 2025 Enhancing Virtual Try-On with Synthetic Pairs and Error-Aware Noise Scheduling CVPR 2025 Enhancing Vision-Language Few-Shot Adaptation with Negative Learning WACV 2025 Enhancing Zero-shot Chain of Thought Prompting via Uncertainty-Guided Strategy Selection COLING 2025 Enhancing Zero-shot Object Counting via Text-guided Local Ranking and Number-evoked Global Attention ICCV 2025 Enough Coin Flips Can Make LLMs Act Bayesian ACL 2025