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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)

LabelBuddy: An Open Source Music and Audio Language Annotation Tagging Tool Using AI Assistance EACL 2026 LabelKAN - Kolmogorov-Arnold Networks for Inter-Label Learning: Avian Community Learning AAAI 2026 LAFED at SemEval-2026 Task 13: Language-Agnostic Feature Engineering for Cross-Lingual AI-Generated Code Detection SemEval 2026 LAMDAS: LLM as an Implicit Classifier for Domain-specific Data Selection AAAI 2026 Language Choice in Nigerian Social Media Hate Speech EACL 2026 Language Integration in Fine-Tuning Multimodal Large Language Models for Image-Based Regression WACV 2026 Language Lives in Sparse Dimensions: Toward Interpretable and Efficient Multilingual Control for Large Language Models EACL 2026 Language Models Do Not Embed Numbers Continuously (Student Abstract) AAAI 2026 Large Language Models Meet Extreme Multi-label Classification: Scaling and Multi-modal Framework AAAI 2026 Large-scale Robust Enhanced Ensemble Clustering via Outlier Decoupling CVPR 2026 Latent Representations of Land–Sea Boundaries and Extreme Temperature in Aurora’s Encoder (Student Abstract) AAAI 2026 Latent Self-Consistency for Reliable Majority-Set Selection in Short- and Long-Answer Reasoning AAAI 2026 LatentVLA: Taming Latent Space for Generalizable and Long-Horizon Bimanual Manipulation AAAI 2026 Layer Consistency Matters: Elegant Latent Transition Discrepancy for Generalizable Synthetic Image Detection CVPR 2026 LC3: Long Cross-Language Code Clone Detection Enhanced by Opcode Sequences and Affinity Aggregation AAAI 2026 Leakage-Aware User-Level ADHD Signal Classification from Social Media: When Graph Aggregation Helps, and When It Does Not ACL 2026 Learnable Matrix Profile for Motif Discovery on Multivariate Time Series AAAI 2026 Learning Adaptive and Expandable Mixture Model for Continual Learning AAAI 2026 Learning Anchor in Dual Orthogonal Space for Fast Multi-view Clustering CVPR 2026 Learning Cell-Aware Hierarchical Multi-Modal Representations for Robust Molecular Modeling AAAI 2026 Learning Compact 3D Representations from Feed-Forward Novel View Synthesis CVPR 2026 Learning Compact Latent Space for Representing Neural Signed Distance Functions with High-fidelity Geometry Details AAAI 2026 Learning Conditional Averages COLT 2026 Learning Expressive Random Feature Models via Parametrized Activations UAI 2026 Learning from Imperfect Data: Robust Inference of Dynamic Systems Using Simulation-Based Generative Model AAAI 2026