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Core Methods

51,083 papers (8 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Representation Learning (22,308) Classification (15,497) Regression (5,281) Clustering (3,809) Embedding Learning (3,795) Metric Learning (2,938) Graph Neural Networks (1,211) Graphical Models (1,093) Feature Learning (891) Kernel Methods (795) Dimensionality Reduction (780) Interpretability (512) Feature Selection (511) Matrix Factorization (408) Ranking (315) Ensemble Methods (300) Support Vector Machine (295) Anomaly Detection (281) Sequence Modeling (244) Structured Prediction (237) Sequence Labeling (157) Topic Modeling (150) Sparse Coding (140) Matrix Completion (131) Neural Networks (114) Retrieval (105) Density Estimation (104) Estimation (83) Inference (56) Decision Tree (50) Feature Extraction (40) Model Selection (39) Prediction (35) Information Extraction (7)

Papers per year

4
51
357
966
4,853
5,823
2000
'5
'10
'15
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'25

Papers (including subtopics)

Enhancing Cooperative Multi-Agent Reinforcement Learning with State Modelling and Adversarial Exploration ICML 2025 Enhancing Dataset Distillation via Non-Critical Region Refinement CVPR 2025 Enhancing Depression Detection via Question-wise Modality Fusion NAACL 2025 Enhancing Detection of Relationship Abuse in Text with Multi-task Learning (Student Abstract) AAAI 2025 Enhancing Discriminative Representation in Similar Relation Clusters for Few-Shot Continual Relation Extraction NAACL 2025 Enhancing Document Understanding with Group Position Embedding: A Novel Approach to Incorporate Layout Information ICLR 2025 Enhancing Elusive Clues in Knowledge Learning by Contrasting Attention of Language Models AAAI 2025 Enhancing Event-centric News Cluster Summarization via Data Sharpening and Localization Insights ACL 2025 Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features ICCV 2025 Enhancing Fine-Grained Vision-Language Pretraining with Negative Augmented Samples AAAI 2025 Enhancing Foundation Models for Time Series Forecasting via Wavelet-based Tokenization ICML 2025 Enhancing Foundation Models in Transaction Understanding with LLM-based Sentence Embeddings EMNLP 2025 Enhancing Future Link Prediction in Quantum Computing Semantic Networks through LLM-Initiated Node Features COLING 2025 Enhancing GOP in CTC-Based Mispronunciation Detection with Phonological Knowledge Interspeech 2025 Enhancing Graph Representation Learning with Localized Topological Features JMLR 2025 Enhancing Hyperbole and Metaphor Detection with Their Bidirectional Dynamic Interaction and Emotion Knowledge ACL 2025 Enhancing ID and Text Fusion via Alternative Training in Session-based Recommendation IJCNLP 2025 Enhancing Identity-Deformation Disentanglement in StyleGAN for One-Shot Face Video Re-Enactment AAAI 2025 Enhancing Implicit Neural Representations via Symmetric Power Transformation AAAI 2025 Enhancing Interpretable Image Classification Through LLM Agents and Conditional Concept Bottleneck Models ACL 2025 Enhancing Lexicon-Based Text Embeddings with Large Language Models ACL 2025 Enhancing LLMs via High-Knowledge Data Selection AAAI 2025 Enhancing LLM Text Detection with Retrieved Contexts and Logits Distribution Consistency EMNLP 2025 Enhancing Long-and Short-Term Representations for Next POI Recommendations via Frequency and Hierarchical Contrastive Learning AAAI 2025 Enhancing Long-range Dependency with State Space Model and Kolmogorov-Arnold Networks for Aspect-based Sentiment Analysis COLING 2025