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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)

FastFill: Efficient Compatible Model Update ICLR 2023 Fast Fluid Simulation via Dynamic Multi-Scale Gridding AAAI 2023 Fast Inference from Transformers via Speculative Decoding ICML 2023 Fast Monocular Scene Reconstruction With Global-Sparse Local-Dense Grids CVPR 2023 Fast Nonlinear Vector Quantile Regression ICLR 2023 Fast Online Hashing with Multi-Label Projection AAAI 2023 Fast Online Value-Maximizing Prediction Sets with Conformal Cost Control ICML 2023 Fast Optimal Locally Private Mean Estimation via Random Projections NeurIPS 2023 Fast, Sample-Efficient, Affine-Invariant Private Mean and Covariance Estimation for Subgaussian Distributions COLT 2023 Fast Screening Rules for Optimal Design via Quadratic Lasso Reformulation JMLR 2023 Fast Variational Estimation of Mutual Information for Implicit and Explicit Likelihood Models AISTATS 2023 FCC: Feature Clusters Compression for Long-Tailed Visual Recognition CVPR 2023 FCCNs: Fully Complex-valued Convolutional Networks using Complex-valued Color Model and Loss Function ICCV 2023 Feasible Recourse Plan via Diverse Interpolation AISTATS 2023 Feature Adaptation for Sparse Linear Regression NeurIPS 2023 Feature Alignment and Uniformity for Test Time Adaptation CVPR 2023 FeatureBooster: Boosting Feature Descriptors With a Lightweight Neural Network CVPR 2023 Feature Decomposition for Reducing Negative Transfer: A Novel Multi-Task Learning Method for Recommender System (Student Abstract) AAAI 2023 Featured Graph Coarsening with Similarity Guarantees ICML 2023 Feature Directions Matter: Long-Tailed Learning via Rotated Balanced Representation ICML 2023 Feature Disentanglement Learning With Switching and Aggregation for Video-Based Person Re-Identification WACV 2023 Feature Distribution Fitting with Direction-Driven Weighting for Few-Shot Images Classification AAAI 2023 Feature Expansion for Graph Neural Networks ICML 2023 Feature Learning for Interpretable, Performant Decision Trees NeurIPS 2023 Feature learning in deep classifiers through Intermediate Neural Collapse ICML 2023