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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
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'25

Papers (including subtopics)

Factorial SDE for Multi-Output Gaussian Process Regression AISTATS 2023 Factoring Hate Speech: A New Annotation Framework to Study Hate Speech in Social Media ACL 2023 Factorized Contrastive Learning: Going Beyond Multi-view Redundancy NeurIPS 2023 Factual and Informative Review Generation for Explainable Recommendation AAAI 2023 Factual Relation Discrimination for Factuality-oriented Abstractive Summarization EMNLP 2023 Fair and Optimal Classification via Post-Processing ICML 2023 Fair and Robust Estimation of Heterogeneous Treatment Effects for Policy Learning ICML 2023 Fair Densities via Boosting the Sufficient Statistics of Exponential Families ICML 2023 FaiREE: fair classification with finite-sample and distribution-free guarantee ICLR 2023 FairGBM: Gradient Boosting with Fairness Constraints ICLR 2023 Fair learning with Wasserstein barycenters for non-decomposable performance measures AISTATS 2023 Fair Neighbor Embedding ICML 2023 Fairness-aware class imbalanced learning on multiple subgroups UAI 2023 Fair, Polylog-Approximate Low-Cost Hierarchical Clustering NeurIPS 2023 Fair Representation Learning for Recommendation: A Mutual Information Perspective AAAI 2023 Fair Representation Learning with Unreliable Labels AISTATS 2023 Fair Streaming Principal Component Analysis: Statistical and Algorithmic Viewpoint NeurIPS 2023 Fair Survival Time Prediction via Mutual Information Minimization MLHC 2023 Fair Without Leveling Down: A New Intersectional Fairness Definition EMNLP 2023 Faithful Heteroscedastic Regression with Neural Networks AISTATS 2023 Fake It Until You Make It : Towards Accurate Near-Distribution Novelty Detection ICLR 2023 FakeSV: A Multimodal Benchmark with Rich Social Context for Fake News Detection on Short Video Platforms AAAI 2023 Faking Fake News for Real Fake News Detection: Propaganda-Loaded Training Data Generation ACL 2023 FaLA: Fast Linear Adaptation for Replacing Backbone Models on Edge Devices EMNLP 2023 FAME: Flexible, Scalable Analogy Mappings Engine EMNLP 2023