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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)

CommonForms: A Large, Diverse Dataset for Form Field Detection WACV 2026 Complex Mathematical Expression Recognition: Benchmark, Large-Scale Dataset and Strong Baseline AAAI 2026 Composite Graphical Causal Models for Inference on Heterogeneous-Indexed Data CLeaR 2026 Compositional Attribute Imbalance in Vision Datasets AAAI 2026 Comprehensive Urban Region Representation Learning via Multi-View Joint Learning and Contrastive Learning AAAI 2026 Compressibility Barriers to Neighborhood-Preserving Data Visualization ALT 2026 CompRestacking: Capturing Channel Dependency in Highly Correlated Multivariate Time Series Data (Student Abstract) AAAI 2026 Computer Vision Modeling of the Development of Geometric and Numerical Concepts in Humans AAAI 2026 Conceptual Cultural Index: A Metric for Cultural Specificity via Relative Generality EACL 2026 CONCORD: Concept-Informed Diffusion for Dataset Distillation WACV 2026 Conditional Information Bottleneck for Multimodal Fusion: Overcoming Shortcut Learning in Sarcasm Detection AAAI 2026 Confidence Leaps in LLM Reasoning: Early Stopping and Cross-Model Transfer EACL 2026 Conformal Graph Prediction with Z-Gromov Wasserstein Distances UAI 2026 Conformal Prediction Meets Long-tail Classification AAAI 2026 ConsensusXAI: A Framework to Examine Class-wise Agreement in Medical Imaging WACV 2026 Constrained Random Forest for Domain-Generalizable Classification UAI 2026 Constraint-Guided Clustering for Identifying in-Vehicle Electronic Control Units from Voltage Data AAAI 2026 Constructing Superior Representations Beyond the Original Documents via a Contrastive Gaussian Fusion Network for Clustering AAAI 2026 Content-aware Information Compression and Selection for Whole Slide Image Analysis AAAI 2026 Content Diversity-guided Ambiguity Mitigation for Open-Set Noisy Label Learning AAAI 2026 contestant001 at SemEval-2026 Task 13 Stylometric and TF-IDF-Based Detection of Machine-Generated Code SemEval 2026 Context-Aware Diffusion for Telemetry Time Series with Permutation-Stable Feature Modeling (Student Abstract) AAAI 2026 Context-aware Graph Meta-learning AAAI 2026 Context-Aware Patch Representations for Multiple Instance Learning MIDL 2026 ContextGraph: Lifelog Intelligence Framework for Contextual Subgraph Evolution AAAI 2026