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
21
30
55
40
51
225
219
249
257
357
364
480
942
818
966
1,394
2,092
3,114
4,415
4,853
5,064
5,371
5,992
6,412
5,823
1,475
2000
'5
'10
'15
'20
'25
Papers (including subtopics)
Multimodal Super-Resolution: Discovering Hidden Physics and Its Application to Fusion Plasmas (Abstract Reprint)
AAAI 2026
Multiplex Heterogeneous Graph Neural Networks with Euclidean-Riemannian Mutual Space Synergy
AAAI 2026
MultiTab: A Scalable Foundation for Multitask Learning on Tabular Data
AAAI 2026
Multitasks-based Deep Evidential Fusion Network for Blind Image Quality Assessment
AAAI 2026
Multivariate Functional Linear Discriminant Analysis for Partially-Observed Time Series (Abstract Reprint)
AAAI 2026
Multivariate Gaussian Representation Learning for Medical Action Evaluation
AAAI 2026
Multi-View Clustering with Granularity-Aware Pseudo Supervision
AAAI 2026
Multi-view Learning via Trusted Pairwise Entity Energy
AAAI 2026
MusicRec: Multi-modal Semantic-Enhanced Identifier with Collaborative Signals for Generative Recommendation
AAAI 2026
MV-LLMRec: Multi-View Representation Learning with Large Language Models for Recommendation (Student Abstract)
AAAI 2026
MWE-2026 Shared Task: AdMIRe 2 Advancing Multimodal Idiomaticity Representation
EACL 2026
MyGram: Modality-aware Graph Transformer with Global Distribution for Multi-modal Entity Alignment
AAAI 2026
NCL-BU at SemEval-2026 Task 3: Fine-tuning XLM-RoBERTa for Multilingual Dimensional Sentiment Regression
SemEval 2026
Near-Exponential Convergence Rates for kNN Classifications based on Boltzmann Margin
UAI 2026
Near-optimal Delta-convex Estimation of Lipschitz Functions
JMLR 2026
Near-optimal Linear Predictive Clustering in Non-separable Spaces via MIP and QPBO Reductions
AAAI 2026
Negative-Aware Diffusion Process for Temporal Knowledge Graph Extrapolation
EACL 2026
Negative Sampling Techniques in Dense Retrieval: A Survey
EACL 2026
Neighbor-aware Instance Refining with Noisy Labels for Cross-Modal Retrieval
AAAI 2026
Neighbor-aware Label Refinement: Enhancing Unreliable Instance-Dependent Partial Labels
AAAI 2026
Nested Subspace Learning with Flags
JMLR 2026
Network Inversion for Uncertainty-Aware Out-of-Distribution Detection (Student Abstract)
AAAI 2026
Neural Collapse-Informed Initialization with Perturbation Injection in Classification-based Metric Learning
AAAI 2026
Neural Collapse Priors Driven Trust Semi-Supervised Multi-View Classification
AAAI 2026
Neural Field-Based 3D Surface Reconstruction of Microstructures from Multi-Detector Signals in Scanning Electron Microscopy
CVPR 2026