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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)

MoMoREC: A Multi-agent Motivation Generation Framework for Residual Semantic ID-Aware Recommendation AAAI 2026 Morphological Feature Extraction for Fine-Grained Sorani Kurdish Dialect Identification: A Hybrid Transformer-Linguistic Approach EACL 2026 MoSE: Hierarchical Self-Distillation Enhances Early Layer Embeddings AAAI 2026 MoToRec: Sparse-Regularized Multimodal Tokenization for Cold-Start Recommender AAAI 2026 MovSemCL: Movement-Semantics Contrastive Learning for Trajectory Similarity AAAI 2026 MPAS: Breaking Sequential Constraints of Multi-Agent Communication Topologies via Individual-Epistemic Message Propagation AAAI 2026 MS^2Gait: A Multi-Scale Spatio-Temporal Fusion Network for LiDAR-based Gait Recognition CVPR 2026 MSAnchor: De Novo Molecular Generation from Mass Spectrometry Data with Anchor-Extended Molecular Scaffolds AAAI 2026 MSCFL: Model Structure-Aware Clustered Federated Learning for System Heterogeneity and Data Drift AAAI 2026 MSPCaps: A Multi-Scale Patchify Capsule Network with Cross-Agreement Routing for Visual Recognition AAAI 2026 MSR-Rec: Multi-Step Reasoning-Enhanced LLM for Sequential Recommendation AAAI 2026 MTP: Exploring Multimodal Urban Traffic Profiling with Modality Augmentation and Spectrum Fusion AAAI 2026 MUG: Meta-path-aware Universal Heterogeneous Graph Pre-Training AAAI 2026 Multi-Aspect Cross-modal Quantization for Generative Recommendation AAAI 2026 Multi-Granular Graph Learning with Fine-Grained Behavioral Pattern Awareness for Session-Based Recommendation AAAI 2026 Multi-granularity Intent Modeling with Adversarial Robustness for Sequential Recommendation AAAI 2026 Multi-granularity Interactive Attention Framework for Residual Hierarchical Pronunciation Assessment AAAI 2026 Multi-Hierarchical Contrastive Spectral Fusion for Multi-View Clustering CVPR 2026 Multi-knowledge Enhanced Graph Neural Network for Multi-trait Essay Scoring AAAI 2026 Multi-Label Classification with Incremental and Decremental Features AAAI 2026 Multi-Metric Representation Learning Strategy Based on Clustering for Fine-Grained Multimodal Sentiment Analysis CVPR 2026 Multi-modal Dynamic Proxy Learning for Personalized Multiple Clustering AAAI 2026 Multimodal Gaussian Mixture Variational Autoencoder with Consistency Regularizations AAAI 2026 Multimodal Mixture-of-Experts with Retrieval Augmentation for Protein Active Site Identification AAAI 2026 Multi-Modal Representation Learning via Semi-Supervised Rate Reduction for Generalized Category Discovery CVPR 2026