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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
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'25

Papers (including subtopics)

HGEN: Heterogeneous Graph Ensemble Networks IJCAI 2025 HG-InsightLog: Context Prioritization and Reduction for Question Answering with Non-Natural Language Construct Log Data ACL 2025 HGMP: Heterogeneous Graph Multi-Task Prompt Learning IJCAI 2025 HGOT: Self-supervised Heterogeneous Graph Neural Network with Optimal Transport ICML 2025 HiCM²: Hierarchical Compact Memory Modeling for Dense Video Captioning AAAI 2025 HICode: Hierarchical Inductive Coding with LLMs EMNLP 2025 HiCOT: Improving Neural Topic Models via Optimal Transport and Contrastive Learning ACL 2025 Hidden in Plain Sight: Evaluation of the Deception Detection Capabilities of LLMs in Multimodal Settings ACL 2025 Hidden Persuasion: Detecting Manipulative Narratives on Social Media During the 2022 Russian Invasion of Ukraine ACL 2025 Hierarchical and Stochastic Crystallization Learning: Geometrically Leveraged Nonparametric Regression with Delaunay Triangulation JMLR 2025 Hierarchical Attention Generates Better Proofs ACL 2025 Hierarchical Autoregressive Transformers: Combining Byte- and Word-Level Processing for Robust, Adaptable Language Models ICLR 2025 Hierarchical Bias-Driven Stratification for Interpretable Causal Effect Estimation AISTATS 2025 Hierarchical Bracketing Encodings for Dependency Parsing as Tagging ACL 2025 Hierarchical Classification Auxiliary Network for Time Series Forecasting AAAI 2025 Hierarchical Classification of Propaganda Techniques in Slavic Texts in Hyperbolic Space ACL 2025 Hierarchical Compact Clustering Attention (COCA) for Unsupervised Object-Centric Learning CVPR 2025 Hierarchical Consensus Network for Multiview Feature Learning AAAI 2025 Hierarchical Divide-and-Conquer Grouping for Classification Adaptation of Pre-Trained Models ICCV 2025 Hierarchical Features Matter: A Deep Exploration of Progressive Parameterization Method for Dataset Distillation CVPR 2025 Hierarchical Gradient-Based Genetic Sampling for Accurate Prediction of Biological Oscillations AAAI 2025 Hierarchical Level-Wise News Article Clustering via Multilingual Matryoshka Embeddings ACL 2025 Hierarchical Material Recognition from Local Appearance ICCV 2025 Hierarchical Memory Organization for Wikipedia Generation ACL 2025 Hierarchical Multi-Agent Framework for Carbon-Efficient Liquid-Cooled Data Center Clusters AAAI 2025