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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
'10
'15
'20
'25

Papers (including subtopics)

Interpolated SelectionConv for Spherical Images and Surfaces WACV 2023 Interpolating Classifiers Make Few Mistakes JMLR 2023 Interpolating Graph Pair to Regularize Graph Classification AAAI 2023 Interpretability with full complexity by constraining feature information ICLR 2023 Interpretable and Fair Boolean Rule Sets via Column Generation JMLR 2023 Interpretable Chirality-Aware Graph Neural Network for Quantitative Structure Activity Relationship Modeling in Drug Discovery AAAI 2023 Interpretable differencing of machine learning models UAI 2023 Interpretable Graph Networks Formulate Universal Algebra Conjectures NeurIPS 2023 Interpretable Latent Space Using Space-Filling Curves for Phonetic Analysis in Voice Conversion Interspeech 2023 Interpret ESG Rating’s Impact on the Industrial Chain Using Graph Neural Networks IJCAI 2023 Interpreting Embedding Spaces by Conceptualization EMNLP 2023 Interpreting Sentiment Composition with Latent Semantic Tree ACL 2023 Interpreting Unfairness in Graph Neural Networks via Training Node Attribution AAAI 2023 Intersectionality and Testimonial Injustice in Medical Records ACL 2023 Interval Bound Interpolation for Few-shot Learning with Few Tasks ICML 2023 Interventional Causal Representation Learning ICML 2023 Interventional SHAP Values and Interaction Values for Piecewise Linear Regression Trees AAAI 2023 Intra-Event and Inter-Event Dependency-Aware Graph Network for Event Argument Extraction EMNLP 2023 Intriguing Effect of the Correlation Prior on ICD-9 Code Assignment ACL 2023 Intriguing Findings of Frequency Selection for Image Deblurring AAAI 2023 Intrinsic Gaussian Process on Unknown Manifolds with Probabilistic Metrics JMLR 2023 Intrinsic Persistent Homology via Density-based Metric Learning JMLR 2023 Intrinsic Physical Concepts Discovery With Object-Centric Predictive Models CVPR 2023 Intrinsic Sliced Wasserstein Distances for Comparing Collections of Probability Distributions on Manifolds and Graphs ICML 2023 Introducing Rhetorical Parallelism Detection: A New Task with Datasets, Metrics, and Baselines EMNLP 2023