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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)

2D Gaussians Spatial Transport for Point-supervised Density Regression AAAI 2026 3DAlign-DAER: Dynamic Attention Policy and Efficient Retrieval Strategy for Fine-grained 3D-Text Alignment at Scale AAAI 2026 3D-ANC: Adaptive Neural Collapse for Robust 3D Point Cloud Recognition AAAI 2026 3D Cell Oversegmentation Correction via Geo-Wasserstein Divergence WACV 2026 A3D: Adaptive Affordance Assembly with Dual-Arm Manipulation AAAI 2026 A Benchmark and Evaluation of Automated Language of Study Extraction from Computational Linguistics Publications EACL 2026 A Benchmark Dataset for Spatially Aligned Road Damage Assessment in Small Uncrewed Aerial Systems Disaster Imagery AAAI 2026 A causal fused lasso for interpretable heterogeneous treatment effects estimation JMLR 2026 Accurate and Efficient Statistical Testing for Word Semantic Breadth ACL 2026 A Characterization of the Orthocomplement of the Tangent Space of Semiparametric Markov Models UAI 2026 Achieving Fairness Without Harm via Selective Demographic Experts AAAI 2026 A comprehensive benchmark of graph neural networks, graph kernels, and classical machine learning approaches on rs-fMRI brain graphs MIDL 2026 A Comprehensive Evaluation of Chain-of-Thought Faithfulness in Persian Classification Tasks EACL 2026 A Computational Approach to Language Contact – A Case Study of Persian EACL 2026 A Computational Forensic Linguistic Analysis of Narrative and Question-Answer Structures in Italian Police Interrogation Transcripts EACL 2026 Action-and-object Aware Alignment for Partially Relevant Video Retrieval AAAI 2026 Activations as Features: Probing LLMs for Generalizable Essay Scoring Representations AAAI 2026 Active Generalized Category Discovery with Diverse LLM Feedback EACL 2026 Active Learning for Animal Re-Identification with Ambiguity-Aware Sampling AAAI 2026 ACuRE: Accurate Continuity-Regularized SpO2 Estimation Using Liquid Time-Constant Networks WACV 2026 Adapt Before Continual Learning AAAI 2026 Adaptive and Asymptotic Mean-based Subclass Discriminant Analysis AAAI 2026 Adaptive and Context-rich Generative Self-supervised Learning on Graphs AAAI 2026 Adaptive Coreset Selection via Uncertainty-Density for Efficient Spam Detection (Student Abstract) AAAI 2026 Adaptive Evolutionary Fusion for Multi-View Clustering AAAI 2026