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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)

LLM2CLIP: Powerful Language Model Unlocks Richer Cross-Modality Representation AAAI 2026 LLM Collaborative Filtering: User-Item Graph as New Language AAAI 2026 LLM-Enabled Scientific Knowledge Diffusion Analysis AAAI 2026 LLM-Free Image Captioning Evaluation in Reference-Flexible Settings AAAI 2026 LLMs Know More About Numbers than They Can Say EACL 2026 LLM-XTM: Enhancing Cross-Lingual Topic Models with Large Language Models ACL 2026 LMGL-WD: LLM-Guided Multi-Task Graph Learning for Category-Level Warehouse Demand Prediction in E-Commerce AAAI 2026 LM-Lexicon: Improving Definition Modeling via Harmonizing Semantic Experts EACL 2026 Localization-Anchored Instance Discrimination for Domain Adaptive Person Search AAAI 2026 Localized Near Surface Temperature Inversion Forecasting Using Long Short-Term Memory AAAI 2026 Locally Explaining Prediction Behavior via Gradual Interventions and Measuring Property Gradients WACV 2026 LogicCBMs: Logic-Enhanced Concept-Based Learning WACV 2026 LooC: Effective Low-Dimensional Codebook for Compositional Vector Quantization WACV 2026 Lorentz Entailment Cone for Semantic Segmentation WACV 2026 LUMIN: A Longitudinal Multi-modal Knowledge Decomposition Network for Predicting Breast Cancer Recurrence AAAI 2026 LVM-Lite: Training Large Vision Models with Efficient Sequential Modeling WACV 2026 M3Time: LLM-Enhanced Multi-Modal, Multi-Scale, and Multi-Frequency Multivariate Time Series Forecasting AAAI 2026 Machine Learning for Sustainable Rice Production: Region-Scale Monitoring of Water-Saving Practices in Punjab, India AAAI 2026 MACS: Multi-source Audio-to-image Generation with Contextual Significance and Semantic Alignment AAAI 2026 MacVQA: Adaptive Memory Allocation and Global Noise Filtering for Continual Visual Question Answering AAAI 2026 MaiBERT: A Pre-training Corpus and Language Model for Low-Resourced Maithili Language EACL 2026 Make Model Transparent: Brain Network Analysis via Causal and Knowledge Graph Learning AAAI 2026 Making the Classification Explanation Faithful to the Confidence Score CVPR 2026 Mamba-Driven Multi-View Discriminative Clustering via Global-Local Cross-View Sequence Modeling AAAI 2026 ManifoldGD: Training-Free Hierarchical Manifold Guidance for Diffusion-Based Dataset Distillation CVPR 2026