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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)

Spontaneous Yet Predictable: Shapelet-Driven, Channel-Aware Intention Decoding from Multi-Region ECoG AAAI 2026 SRA-Det: Learning Omni-Grained Open-Vocabulary Detection Beyond Category Names CVPR 2026 SSHPool: The Separated Subgraph-based Hierarchical Pooling AAAI 2026 SSN-CSE-CODECATALYSTS at SemEval-2026 Task 13: Integrating Transformer Semantics and AST-Derived Structural Features for AI-Generated Code Detection. SemEval 2026 State-Derivative-Aware Neural Controlled Differential Equations for Multivariate Time Series Anomaly Detection and Diagnosis AAAI 2026 State Mamba: Spatiotemporal EEG State-Space Model with Dynamic Brain Alignment for Cross-Subject Representation AAAI 2026 Statistical Learning Theory for Distributional Classification AAAI 2026 Statistically Robust Sparse High-order Interaction Model AAAI 2026 Statistical Semantic Change Detection via Usage Similarities EACL 2026 SteinGate: Tail-Sensitive Safe Reinforcement Learning via Stein Discrepancy UAI 2026 STOLA: Self-Adaptive Touch-Language Framework for Tactile Commonsense Reasoning in Open-Ended Scenarios AAAI 2026 Stop Mixing Things Up! BISCUIT Teaches Vision-Language Models to Learn New Concepts from Images on the Spot AAAI 2026 Stop Probing, Start Coding: Why Linear Probes and Sparse Autoencoders Fail at Compositional Generalization UAI 2026 Streaming Generated Gaussian Process Experts for Online Learning and Control AAAI 2026 STREAM-ZH: Simplified Topic Retrieval Exploration and Analysis Module for Chinese Language EACL 2026 Structural Drift Repair in Decision Trees via Bayesian Model-Based Diagnosis UAI 2026 Structured Context Learning for Generic Event Boundary Detection WACV 2026 Studying Expert-ese: Profiling and Classification of Domain-Specific Language Variation in Architecture with Traditional Machine Learning and LLMs EACL 2026 Style as Signature: Profile-Based Authorship Verification of Mihai Eminescu’s Journalistic Corpus EACL 2026 StyleSentinel: Reliable Artistic Copyright Verification via Stylistic Fingerprints AAAI 2026 Stylometric Approach to AI-generated Texts. An Analysis of Contemporary French-Language Literature EACL 2026 Subgraph Encoding with Bicentric Sphere Node Labeling and Pooling for Link Prediction AAAI 2026 SubspaceAD: Training-Free Few-Shot Anomaly Detection via Subspace Modeling CVPR 2026 Subspace Alignment for CLIP-based Continual Learning via Canonical Correlation Analysis CVPR 2026 Subspace-Aware Graph Construction and Contrastive Alignment for Multimodal Recommendation with Large Language Models AAAI 2026