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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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'25

Papers (including subtopics)

DiGeo: Discriminative Geometry-Aware Learning for Generalized Few-Shot Object Detection CVPR 2023 Dimensionality Collapse: Optimal Measurement Selection for Low-Error Infinite-Horizon Forecasting AISTATS 2023 Dimensionality Reduction and Wasserstein Stability for Kernel Regression JMLR 2023 Dimensionality Reduction for General KDE Mode Finding ICML 2023 Dimensionality Reduction for Machine Learning-based Argument Mining EMNLP 2023 Dimension-Grouped Mixed Membership Models for Multivariate Categorical Data JMLR 2023 Dimension Reduction and MARS JMLR 2023 Dimension Reduction in Contextual Online Learning via Nonparametric Variable Selection JMLR 2023 Dimensions of Online Conflict: Towards Modeling Agonism EMNLP 2023 DimonGen: Diversified Generative Commonsense Reasoning for Explaining Concept Relationships ACL 2023 DINER: Disorder-Invariant Implicit Neural Representation CVPR 2023 Dink-Net: Neural Clustering on Large Graphs ICML 2023 DINN360: Deformable Invertible Neural Network for Latitude-Aware 360deg Image Rescaling CVPR 2023 DinoSR: Self-Distillation and Online Clustering for Self-supervised Speech Representation Learning NeurIPS 2023 DIP: Dual Incongruity Perceiving Network for Sarcasm Detection CVPR 2023 Directed Graphical Models and Causal Discovery for Zero-Inflated Data CLeaR 2023 Direct Embedding of Temporal Network Edges via Time-Decayed Line Graphs ICLR 2023 Direct Fact Retrieval from Knowledge Graphs without Entity Linking ACL 2023 Directional diffusion models for graph representation learning NeurIPS 2023 Direct Preference Optimization: Your Language Model is Secretly a Reward Model NeurIPS 2023 Direct Speech Quote Attribution for Dutch Literature EACL 2023 Dirichlet Diffusion Score Model for Biological Sequence Generation ICML 2023 (Dis)agreement and Preference Structure are Reflected in Matching Along Distinct Acoustic-prosodic Features Interspeech 2023 Disagreement Matters: Preserving Label Diversity by Jointly Modeling Item and Annotator Label Distributions with DisCo ACL 2023 Disambiguated Attention Embedding for Multi-Instance Partial-Label Learning NeurIPS 2023