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)
Onomasiological Sense Alignment Across Dialect Dictionaries. A Taxonomy-Constrained LLM Classification
EACL 2026
On Pairwise Quantile Regression - Statistical Guarantees and Applications
UAI 2026
On the Additive Compositionality of Task Vectors in Vision–Language Models
EACL 2026
On the Curse of Dimensionality in Private Sparse Covariance Estimation and PCA
COLT 2026
OpenCowID: Zero-Shot Visual Identification of Dairy Cows
WACV 2026
Optical Character Recognition for the International Phonetic Alphabet
EACL 2026
Optimal Look-back Horizon for Time Series Forecasting in Federated Learning
AAAI 2026
Optimized Algorithms for Text Clustering with LLM-Generated Constraints
AAAI 2026
Optimizing Product Provenance Verification Using Data Valuation Methods
AAAI 2026
Order-Preserving Dimension Reduction for Multimodal Semantic Embedding
AAAI 2026
Ordinal-Aware Multimodal Engagement Recognition for Collaborative Learning
WACV 2026
Orthogonal Spatial-Aware Multi-View Anchor Graph Clustering for Incomplete Remote Sensing Data
CVPR 2026
OscuFit: Learning to Fit Osculating Implicit Quadrics for Point Clouds
AAAI 2026
Otter: Mitigating Background Distractions of Wide-Angle Few-Shot Action Recognition with Enhanced RWKV
AAAI 2026
Out-of-Distribution Detection with Positive and Negative Prompt Supervision Using Large Language Models
AAAI 2026
Out-Of-Tune rather than Fine-Tuned: How Pre-training, Fine-tuning and Tokenization Affect Semantic Similarity in a Historical, Non-Standardized Domain
EACL 2026
OW-DAR: Dual-Granularity Adaptive Reconstruction-Error Modeling for Open-World Object Detection
AAAI 2026
OW-Rep: Open World Object Detection with Instance Representation Learning
WACV 2026
OxEnsemble: Fair Ensembles for Low-Data Classification
MIDL 2026
Oxytrees: Model Trees for Bipartite Learning
AAAI 2026
PAC-Bayesian Analysis of the Surrogate Relation between Joint Embedding and Supervised Downstream Losses
ALT 2026
Paradise at SemEval-2026 Task 5: On the Limitations of Surface-Level Features for Graded Word Sense Plausibility Prediction
SemEval 2026
ParaMETA: Towards Learning Disentangled Paralinguistic Speaking Styles Representations from Speech
AAAI 2026
Parameter-Free Clustering via Self-Supervised Consensus Maximization
AAAI 2026
Parametric Pareto Set Learning for Expensive Multi-Objective Optimization
AAAI 2026