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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)

Jump-teaching: Combating Sample Selection Bias via Temporal Disagreement AAAI 2026 KALL-E: Autoregressive Speech Synthesis with Next-Distribution Prediction AAAI 2026 KazakhOCR: A Synthetic Benchmark for Evaluating Multimodal Models in Low-Resource Kazakh Script OCR EACL 2026 KCLNet: Electrically Equivalence-Oriented Graph Representation Learning for Analog Circuits AAAI 2026 Kernel-based Distributed Learning JMLR 2026 Kernel-Based Safe Exploration in Deep Reinforcement Learning L4DC 2026 Kernel Integrated R^2: A Measure of Dependence UAI 2026 Kernel Mean Embedding Deviation Subspace for Unsupervised Learning with Heterogeneous Data JMLR 2026 KGHaluBench: A Knowledge Graph-Based Hallucination Benchmark for Evaluating the Breadth and Depth of LLM Knowledge EACL 2026 Khan-GCL: Kolmogorov–Arnold Network Based Graph Contrastive Learning with Hard Negatives AAAI 2026 KineST: A Kinematics-guided Spatiotemporal State Space Model for Human Motion Tracking from Sparse Signals AAAI 2026 KMM-CP: Practical Conformal Prediction under Covariate Shift via Selective Kernel Mean Matching UAI 2026 KNNDA: A New Perspective of Alignment Recovery for Partially View-Aligned Clustering AAAI 2026 Knowing the Facts but Choosing the Shortcut: Understanding How Large Language Models Compare Entities EACL 2026 Knowledge Cascade: Reverse Knowledge Distillation on Nonparametric Multivariate Functional Estimation JMLR 2026 Knowledge-driven Augmentation and Retrieval for Integrative Temporal Adaptation ACL 2026 Knowledge-Enhanced Explainable Hypergraph Convolution Network for Medication Recommendation AAAI 2026 Knowledge Graph Guided Heterogeneity-Informed Diffusion Model for Spatio-Temporal Generation AAAI 2026 Königsberg at SemEval-2026 Task 13: Beyond Language Models: A Low-Resource Feature-Driven and Data-Flow Embedding Approach for Machine-Generated Code Detection SemEval 2026 Koopman Invariants as Drivers of Emergent Time-Series Clustering in Joint-Embedding Predictive Architectures AAAI 2026 Koopman Operator for Stability Analysis: Theory with a Linear–Radial Product Reproducing Kernel L4DC 2026 Kronos: A Foundation Model for the Language of Financial Markets AAAI 2026 KTV: Keyframes and Key Tokens Selection for Efficient Training-Free Video LLMs AAAI 2026 KvochurHegel at AbjadMed: Combining LDAM Loss and Adversarial Training for Arabic Medical Question-Answer Classification EACL 2026 KyrText: A Multi-Domain Large-Scale Corpus for Kyrgyz Language EACL 2026