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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)

Detecting Primary Progressive Aphasia (PPA) from Text: A Benchmarking Study EACL 2026 Detecting reported speech as a token classification task: an application to Classical Latin? EACL 2026 Detecting Subtle Sense Shift with Polysemy-Aware Trends EACL 2026 Detecting the Future: All-at-Once Event Sequence Forecasting with Horizon Matching AAAI 2026 Detecting Unobserved Confounders: A Kernelized Regression Approach AAAI 2026 Deterministic Hyperdimensional Learning with Rank Refinement (Student Abstract) AAAI 2026 DF^2-VB: Dual-level Fuzzy Fusion with View-specific Boosting for Multi-view Multi-label Classification CVPR 2026 DFDT: Dynamic Fast Decision Tree for IoT Data Stream Mining on Edge Devices AAAI 2026 DFPE: A Diverse Fingerprint Ensemble for Enhancing LLM Performance EACL 2026 DFRec: Dual Fluctuation Modeling of Multi-level Intent Evolution for Next-Item Recommendation AAAI 2026 DGSAN: Dual-Graph Spatiotemporal Attention Network for Pulmonary Nodule Malignancy Prediction AAAI 2026 DHCM-CACL: Dynamic Hierarchical Cross-modal Mamba with Confidence-Adaptive Contrastive Learning for Multimodal Emotion Recognition AAAI 2026 DHMRec: Collaboration-Guided Multimodal Disentanglement and Hierarchical Fusion for Recommendation AAAI 2026 DiAPR: Dimensionally-Allocated Prototype Refinement for Non-Exemplar Class Incremental Learning AAAI 2026 DiCaP: Distribution-Calibrated Pseudo-labeling for Semi-Supervised Multi-Label Learning AAAI 2026 DIET: Machine Unlearning on a Data-Diet AAAI 2026 Differentiable Filtering for Learning Hidden Markov Models L4DC 2026 Differentiable Laplacian Matrix Guided Superpixel Segmentation CVPR 2026 Differentiable Sparse Identification of Lagrangian Dynamics AAAI 2026 Differentially Private Estimation and Inference in High-Dimensional Regression with FDR Control JMLR 2026 Difficulty-Aware Learning Curve Extrapolation AAAI 2026 Diffusion-Based Authentication of Copy Detection Patterns: A Multimodal Framework with Printer Signature Conditioning WACV 2026 Diffusion Model Based Signal Recovery Under 1-Bit Quantization AAAI 2026 Diffusion Reconstruction-based Data Likelihood Estimation for Core-Set Selection AAAI 2026 Digital Forensic AI You Can Explain: A Case Study on Video Source Camera Identification WACV 2026