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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)

Online Clustering of Bandits with Misspecified User Models NeurIPS 2023 Online Continual Learning on Hierarchical Label Expansion ICCV 2023 Online Estimation of the Koopman Operator Using Fourier Features L4DC 2023 Online Harmonizing Gradient Descent for Imbalanced Data Streams One-Pass Classification IJCAI 2023 Online k-means Clustering on Arbitrary Data Streams ALT 2023 Online Linearized LASSO AISTATS 2023 Online (Multinomial) Logistic Bandit: Improved Regret and Constant Computation Cost NeurIPS 2023 Online PCA in Converging Self-consistent Field Equations NeurIPS 2023 Online Platt Scaling with Calibeating ICML 2023 Online Prototype Learning for Online Continual Learning ICCV 2023 Online Random Feature Forests for Learning in Varying Feature Spaces AAAI 2023 Online Unsupervised Representation Learning of Waveforms in the Intensive Care Unit via a novel cooperative framework: Spatially Resolved Temporal Networks (SpaRTEn) MLHC 2023 Only a Few Classes Confusing: Pixel-Wise Candidate Labels Disambiguation for Foggy Scene Understanding AAAI 2023 On Manipulating Weight Predictions in Signed Weighted Networks AAAI 2023 On Model Selection Consistency of Lasso for High-Dimensional Ising Models AISTATS 2023 On Modular Learning of Distributed Systems for Predicting End-to-End Latency NSDI 2023 On Regularization and Inference with Label Constraints ICML 2023 On Representing Mixed-Integer Linear Programs by Graph Neural Networks ICLR 2023 On Single-Index Models beyond Gaussian Data NeurIPS 2023 On Sparse Modern Hopfield Model NeurIPS 2023 On Tackling Explanation Redundancy in Decision Trees (Extended Abstract) IJCAI 2023 On the Ability of Graph Neural Networks to Model Interactions Between Vertices NeurIPS 2023 On the Asymptotic Learning Curves of Kernel Ridge Regression under Power-law Decay NeurIPS 2023 On the Benefits of Learning to Route in Mixture-of-Experts Models EMNLP 2023 On the Benefits of Self-supervised Learned Speech Representations for Predicting Human Phonetic Misperceptions Interspeech 2023