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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)

Omnigrok: Grokking Beyond Algorithmic Data ICLR 2023 On Certified Generalization in Structured Prediction NeurIPS 2023 On Class Distributions Induced by Nearest Neighbor Graphs for Node Classification of Tabular Data NeurIPS 2023 On Classification-Calibration of Gamma-Phi Losses COLT 2023 On Complementarity Objectives for Hybrid Retrieval ACL 2023 On Computing Optimal Tree Ensembles ICML 2023 On Coresets for Clustering in Small Dimensional Euclidean spaces ICML 2023 On Discovery of Local Independence over Continuous Variables via Neural Contextual Decomposition CLeaR 2023 On double-descent in uncertainty quantification in overparametrized models AISTATS 2023 One-Class SVM on siamese neural network latent space for Unsupervised Anomaly Detection on brain MRI White Matter Hyperintensities MIDL 2023 One Embedder, Any Task: Instruction-Finetuned Text Embeddings ACL 2023 One Fits All: Power General Time Series Analysis by Pretrained LM NeurIPS 2023 On Error and Compression Rates for Prototype Rules AAAI 2023 One-Shot Compression of Large Edge-Exchangeable Graphs using Bits-Back Coding ICML 2023 One-Step Estimator for Permuted Sparse Recovery ICML 2023 On Evaluation of Document Classification with RVL-CDIP EACL 2023 On Experiments of Detecting Persuasion Techniques in Polish and Russian Online News: Preliminary Study EACL 2023 On Generalization Bounds for Projective Clustering NeurIPS 2023 On Generalized Degree Fairness in Graph Neural Networks AAAI 2023 On General Language Understanding EMNLP 2023 On Isotropy, Contextualization and Learning Dynamics of Contrastive-based Sentence Representation Learning ACL 2023 On kernel-based statistical learning theory in the mean field limit NeurIPS 2023 On Learning Necessary and Sufficient Causal Graphs NeurIPS 2023 Online Boundary-Free Continual Learning by Scheduled Data Prior ICLR 2023 Online Change-Point Detection in High-Dimensional Covariance Structure with Application to Dynamic Networks JMLR 2023