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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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Papers (including subtopics)

High-Order Markov Blanket Discovery via a k-Order Relaxation of the Faithfulness Assumption UAI 2026 High-Pass Matters: Theoretical Insights and Sheaflet-Based Design for Hypergraph Neural Networks AAAI 2026 HiLoRA: Hierarchical Low-Rank Adaptation for Personalized Federated Learning CVPR 2026 HiMo: High-Speed Objects Motion Compensation in Point Clouds (Abstract Reprint) AAAI 2026 HiNCoT: Hierarchical Nonlinear Continuous Transform-based Tensor Representation for Multi-Dimensional Data Recovery AAAI 2026 HINPool: A Unified Heterogeneous Graph Pooling Framework for Accurate Molecular and Protein Property Prediction AAAI 2026 Histogram Assisted Quality Aware Generative Model for Resolution Invariant NIR Image Colorization WACV 2026 HiTVideo: Hierarchical Tokenizers for Enhancing Text-to-Video Generation with Autoregressive Large Language Models AAAI 2026 HMformer: Unleashing Transformer’s Potential for Time Series Forecasting via Hierarchical Multi-Scale Modeling AAAI 2026 HN-MVTS: HyperNetwork-based Multivariate Time Series Forecasting AAAI 2026 How DDAIR you? Disambiguated Data Augmentation for Intent Recognition EACL 2026 How Does Alignment Enhance LLMs’ Multilingual Capabilities? A Language Neurons Perspective AAAI 2026 How Do Language Models Acquire Character-Level Information? EACL 2026 How Do Lexical Senses Correspond Between Spoken German and German Sign Language? EACL 2026 How to Make LMs Strong Node Classifiers? EACL 2026 HSA-Net: Hierarchical and Structure-Aware Framework for Efficient and Scalable Molecular Language Modeling AAAI 2026 HTG-GCL: Leveraging Hierarchical Topological Granularity from Cellular Complexes for Graph Contrastive Learning AAAI 2026 HuiduRep: A Robust Self-Supervised Framework for Learning Neural Representations from Extracellular Recordings AAAI 2026 HumanGuideNet: Adapter-Based Alignment of Deep Neural Networks with Human Similarity Judgments WACV 2026 Human Motion Synthesis in 3D Scenes via Unified Scene Semantic Occupancy AAAI 2026 Humans and transformer LMs: Abstraction drives language learning EACL 2026 Hybrid-Domain Adaptative Representation Learning for Gaze Estimation AAAI 2026 Hybrid Semantics Accounting for Argument Types AAAI 2026 Hybrid State Representation for Video Procedure Planning WACV 2026 HyFI: Hyperbolic Feature Interpolation for Brain-Vision Alignment AAAI 2026