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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)

Neural Geometry Image-Based Representations with Optimal Transport (OT) WACV 2026 Neural Graph Navigation for Intelligent Subgraph Matching AAAI 2026 NeuralGS: Bridging Neural Fields and 3D Gaussian Splatting for Compact 3D Representations AAAI 2026 Neural network embeddings recover value dimensions from psychometric survey items on par with human data EACL 2026 NeuralOM: Neural Ocean Model for Subseasonal-to-Seasonal Simulation AAAI 2026 Neural Routed Boosting: Robust Learning against Heteroscedastic Noise UAI 2026 NeuroBridge: Few-Shot Cross-Modal Neuron Re-identification via Dual-Channel Deep Metric Learning WACV 2026 New Metrics for Disambiguating Feature Overlap and Catastrophic Forgetting in Incremental Learning Contexts (Student Abstract) AAAI 2026 Next Generation of Empirical Performance Prediction AAAI 2026 Next Patch Prediction for AutoRegressive Visual Generation AAAI 2026 NGTM: Substructure-based Neural Graph Topic Model for Interpretable Graph Generation AAAI 2026 NICE: Neural Implicit Craniofacial Model for Orthognathic Surgery Prediction AAAI 2026 NileUn at AbjadGenEval Shared Task: Contrastive Learning with Stacking Ensemble for Efficient Arabic AI-Generated Text Detection EACL 2026 NLP-FSDM at SemEval-2026 Task 2: Temporal Smoothing and CCC-MAE Optimization for Balanced Longitudinal Affect Assessment SemEval 2026 Node Regression on Latent Position Random Graphs via Local Averaging JMLR 2026 Noise-Aware Graph-Based Cognitive Diagnostic Framework Through Low-Rank Alignment AAAI 2026 Noisy Correspondence Learning with Modality Gap Direction Correction AAAI 2026 Nonlinear function-on-function regression by RKHS JMLR 2026 Nonparametric Estimation of a Factorizable Density using Diffusion Models JMLR 2026 No-Regret Strategy Solving in Imperfect-Information Games via Pre-Trained Embedding AAAI 2026 Normalizing Health Concepts with Biomedical Embedding and LLMs EACL 2026 NP-MiSR: Neural Process-based Multi-Interest Learning for Session-Based Recommendation AAAI 2026 NTK-Guided Implicit Neural Teaching CVPR 2026 NucEL: Single-Nucleotide ELECTRA-Style Genomic Pre-training for Efficient and Interpretable Representations AAAI 2026 NutriScreener: Retrieval Augmented Multi-Pose Graph Attention Network for Malnourishment Screening AAAI 2026