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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)

GeoHSAF: Geometric Hippocampus Shape Analysis Framework for Longitudinal Alzheimer's Disease Classification WACV 2026 Geometrically Inspired Kernel Machines for Collaborative Learning Beyond Gradient Descent (Abstract Reprint) AAAI 2026 Geometry-Aware Noisy Correspondence Mitigation for Cross-Modal Text-Based Person Retrieval AAAI 2026 Geometry-Aware Variational Information Maximization for Deep Incomplete Multi-view Clustering AAAI 2026 GeoNum: Bridging Numerical Continuity and Language Semantics via Geometric Embedding AAAI 2026 GeoPTH: A Lightweight Approach to Category-Based Trajectory Retrieval via Geometric Prototype Trajectory Hashing AAAI 2026 GeoSURGE: Geo-localization using Semantic Fusion with Hierarchy of Geographic Embeddings CVPR 2026 GIER: Addressing Class Imbalance in GNNs Through Experience Replay AAAI 2026 GLANCE: Global Actions in a Nutshell for Counterfactual Explainability AAAI 2026 Global Fréchet Manifold Learning for Random Objects, With Application to Low-Dimensional Wasserstein Representations of Distributional Data JMLR 2026 Global-Lens Transformers: Adaptive Token Mixing for Dynamic Link Prediction AAAI 2026 GloCTM: Cross-Lingual Topic Modeling via a Global Context Space AAAI 2026 GOAL: Geometrically Optimal Alignment for Continual Generalized Category Discovery AAAI 2026 Goal-Oriented Time-Series Forecasting: Foundation Framework Design AAAI 2026 GP-MoLFormer-Sim: Test Time Molecular Optimization Through Contextual Similarity Guidance AAAI 2026 Gradient as Conditions: Rethinking HOG for All-in-one Image Restoration AAAI 2026 GraFT: Infusing Pre-trained Transformers with Relational Structure for Time Series Forecasting AAAI 2026 Grammatical Error Correction for Low-Resource Languages: The Case of Zarma EACL 2026 Graph-augmented and Over-smoothing-resistant Contrastive Clustering for Short Text AAAI 2026 Graph-based Clustering Revisited: A Relaxation of Kernel k-Means Perspective JMLR 2026 Graph Contrastive Learning with Balanced Hard Negatives and Fine-grained Semantic-aware Positives AAAI 2026 GraphGrasp: Lightweight and Efficient Graph-Guided 6-DoF Robotic Grasp Pose Estimation Network AAAI 2026 GraphIC: A Graph-Based In-Context Example Retrieval Model for Multi-Step Reasoning AAAI 2026 Graph Masked Autoencoder for Multi-view Remote Sensing Data Clustering AAAI 2026 Graph Meets Deep Unfolding: An Interpretable Mutual-benefit Multi-view Learning Network AAAI 2026