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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)

Explainable Clustering of Mixture Models UAI 2026 Explainable Disentangled Representation Learning for Generalizable Authorship Attribution in the Era of Generative AI ACL 2026 Explaining Generalization of AI-Generated Text Detectors Through Linguistic Analysis EACL 2026 Explicit Modeling of Causal Factors and Confounders for Image Classification AAAI 2026 Exploiting Graph-Based Structural Priors for Visual Recognition AAAI 2026 Exploiting Label-Independent Regularization from Spatial Patterns for Whole Slide Image Analysis WACV 2026 Exploiting Space Folding by Neural Networks AAAI 2026 Explore How to Inject Beneficial Noise in MLLMs AAAI 2026 Exploring Automated Recognition of Instructional Activity and Discourse from Multimodal Classroom Data WACV 2026 Exploring Non-Convex Discrete Energy Landscapes: An Efficient Langevin-Like Sampler with Replica Exchange AAAI 2026 Exploring the Janus Face of Synthetic Images: From Privacy-secure Biometrics to Universal and Robust Deepfake Detection AAAI 2026 Exploring the Semantic Space of Second Language Learners EACL 2026 Exploring Transferability of Self-Supervised Learning by Task Conflict Calibration AAAI 2026 Expressive Power of Graph Transformers via Logic AAAI 2026 Extracting Interaction-Aware Monosemantic Concepts in Recommender Systems AAAI 2026 Extreme Amodal Face Detection WACV 2026 F2SST: Frequency-to-Spatial Semantic Transfer for Few-Shot Image Classification AAAI 2026 FairGC: Fostering Individual and Group Fairness for Deep Graph Clustering AAAI 2026 Fair Model-based Clustering AAAI 2026 Fairness under Graph Uncertainty: Achieving Interventional Fairness with Partially Known Causal Graphs over Clusters of Variables UAI 2026 False Alarm Rectification for Early Smoke Segmentation WACV 2026 FAMDR: Feature-Aligned Multimodal Denoising for Reliable Diagnostic Reconciliation in Medical Imaging AAAI 2026 FAM: Fine-Grained Alignment Matters in Multimodal Embedding Learning with Large Vision-Language Models AAAI 2026 FANoise: Singular Value-Adaptive Noise Modulation for Robust Multimodal Representation Learning AAAI 2026 Fashion Microscope: Pixel-Level Attribute Perception via Optimal Transport and Neural Semantic Aggregation AAAI 2026