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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
'5
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'15
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'25

Papers (including subtopics)

On Discriminative Probabilistic Modeling for Self-Supervised Representation Learning ICLR 2025 One2Any: One-Reference 6D Pose Estimation for Any Object CVPR 2025 OneBatchPAM: A Fast and Frugal K-Medoids Algorithm AAAI 2025 One_by_zero@ NLU of Devanagari Script Languages 2025: Target Identification for Hate Speech Leveraging Transformer-based Approach COLING 2025 One-Dimensional Object Detection for Streaming Text Segmentation of Meeting Dialogue ACL 2025 One Encoder to Rule them All: Representation Learning for Model-free Visual Reinforcement Learning using Fourier Neural Operators ICCV 2025 One Image is Worth a Thousand Words: A Usability Preservable Text-Image Collaborative Erasing Framework ICML 2025 One Node One Model: Featuring the Missing-Half for Graph Clustering AAAI 2025 On Entity Identification in Language Models ACL 2025 One-shot 3D Object Canonicalization based on Geometric and Semantic Consistency CVPR 2025 One-Shot Heterogeneous Federated Learning with Local Model-Guided Diffusion Models ICML 2025 On Explaining Equivariant Graph Networks via Improved Relevance Propagation ICML 2025 On Explaining Knowledge Distillation: Measuring and Visualising the Knowledge Transfer Process WACV 2025 On Finding Hubs in High Dimensions with Sampling AAAI 2025 On Inference for the Support Vector Machine JMLR 2025 On Integrating LLMs Into an Argument Annotation Workflow ACL 2025 On Integrating Logical Analysis of Data into Random Forests IJCAI 2025 On Linear Representations and Pretraining Data Frequency in Language Models ICLR 2025 Online Clustering with Nearly Optimal Consistency ICLR 2025 Online Differentially Private Conformal Prediction for Uncertainty Quantification ICML 2025 Online Fraud Detection via Test-Time Retrieval-Based Representation Enrichment AAAI 2025 Online Learning in the Random-Order Model ICML 2025 Online Linear Classification with Massart Noise ICML 2025 Online Quantile Regression JMLR 2025 On Local Overfitting and Forgetting in Deep Neural Networks AAAI 2025