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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)

From Semantics to Style: A Cross-Dataset Comparative Framework for Sentence Similarity Predictions EACL 2026 From Sentiment to Interpretation: Teaching NLP for Literary Understanding Across Educational Contexts EACL 2026 From Tokens to Latent States: Leveraging Pre-trained Language Models for Improving Partially Observable Reinforcement Learning AAAI 2026 FunFact: Building Probabilistic Functional 3D Scene Graphs via Factor-Graph Reasoning CVPR 2026 FuseMine: Robust Multi-Modal Compound-Protein Interaction Prediction via Differential Attention Feature Mining AAAI 2026 FUSION: Dataset Pruning via Fusing Uncertainty with Structural Information for Optimal Neural Training in Crystal Property Prediction AAAI 2026 Game-Theoretic Simulations Meet AI: Fast Policy Recommendations Under Data Scarcity (Student Abstract) AAAI 2026 Gated Variational Graph Autoencoders as Experts with Competition and Consensus for Multi-view Clustering AAAI 2026 Gaussian Graphical Learning via PSD Constraint for Blockwise Missing Multimodal Data UAI 2026 GaussianMatch: Semi-Supervised Regression with Pseudo-Label Filtering via Multi-View Gaussian Consistency CVPR 2026 GEM: Gaussian Embedding Modeling for Out-of-Distribution Detection in GUI Agents AAAI 2026 Gene-DML: Dual-Pathway Multi-Level Discrimination for Gene Expression Prediction from Histopathology Images WACV 2026 Gene Incremental Learning for Single-Cell Transcriptomics AAAI 2026 GenePheno: Interpretable Gene Knockout-Induced Phenotype Abnormality Prediction from Gene Sequences AAAI 2026 Generalising LLM Routing using Past Performance Retrieval: A Few-Shot Router is Sufficient EACL 2026 Generalized Category Discovery for LiDAR Semantic Segmentation WACV 2026 Generalized Geometry Encoding Volume for Real-time Stereo Matching AAAI 2026 Generalized Resubstitution for Regression Error Estimation JMLR 2026 Generalizing Analogical Inference from Boolean to Continuous Domains AAAI 2026 Generalizing Fair Clustering to Multiple Groups: Algorithms and Applications AAAI 2026 Generating Sketches in a Hierarchical Auto-Regressive Process for Flexible Sketch Drawing Manipulation at Stroke-Level AAAI 2026 Generative AI-Driven Data Transformation for Enhanced Machine Learning Performance (Student Abstract) AAAI 2026 Generative Graphical Inverse Kinematics (Abstract Reprint) AAAI 2026 GenVidBench: A 6-Million Benchmark for AI-Generated Video Detection AAAI 2026 Geo2Vec: Shape- and Distance-Aware Neural Representation of Geospatial Entities AAAI 2026