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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)

Hymavi : A Hybrid Mamba-Attention Network in Multi-View Framework for Volumetric Medical Image Segmentation WACV 2026 HyMoERec: Hybrid Mixture-of-Experts for Sequential Recommendation (Student Abstract) AAAI 2026 Hyperbolic Belief Propagation UAI 2026 Hyperbolic Continuous Structural Entropy for Hierarchical Clustering AAAI 2026 Hyperbolic-Enhanced Mixture-of-Experts Mamba for Sequential Recommendation AAAI 2026 HyperD: Hybrid Periodicity Decoupling Framework for Traffic Forecasting AAAI 2026 Hypergraph-Based Multi-View Multi-Label Classification via Adaptive High-Order Semantic Fusion AAAI 2026 Hypergraph-State Collaborative Reasoning for Multi-Object Tracking CVPR 2026 HyperSign: Hierarchical Hypergraph-based Co-occurrence Modeling for Sign Language Recognition and Translation AAAI 2026 HyperST: Hierarchical Hyperbolic Learning for Spatial Transcriptomics Prediction CVPR 2026 HypoxSpike: Ternary Spiking Neural Network for Opioid Overdose Detection AAAI 2026 I2CD: An Invertible Causal Framework for Compositional Zero-Shot Learning via Disentangle-Compose-Disentangle AAAI 2026 IAD-R1: Reinforcing Consistent Reasoning in Industrial Anomaly Detection AAAI 2026 iBERT: Interpretable Embeddings via Sense Decomposition EACL 2026 ICAD-LLM: One-for-All Anomaly Detection via In-Context Learning with Large Language Models AAAI 2026 iCD: An Implicit Clustering Distillation Method for Structural Information Mining (Student Abstract) AAAI 2026 ICL-Router: In-Context Learned Model Representations for LLM Routing AAAI 2026 ICONIC-444: A 3.1-Million-Image Dataset for OOD Detection Research WACV 2026 IDEAlign: Comparing Ideas of Large Language Models to Domain Experts EACL 2026 IdeFN: Identifying Unclicked Space False Negatives via Relaxed Partial Optimal Transport for Conversion Rate Prediction AAAI 2026 Identifying and Analyzing Performance-Critical Tokens in Large Language Models AAAI 2026 Identifying Labeling Mechanism in Positive–Unlabeled Learning under Unknown Class Prior UAI 2026 Identity Verification from Human Scent using Channel Representation of 2D Gas Chromatography-Mass Spectrometry Data WACV 2026 IDK-S: Incremental Distributional Kernel for Streaming Anomaly Detection AAAI 2026 iDT-diet: Toward Personalized Health Forecasting-An Intelligent Digital Twin Model for Diet-Influenced Biomarker Trajectories (Student Abstract) AAAI 2026