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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)

Symmetric Correspondence Topic Models for Multilingual Text Analysis NeurIPS 2012 Synchronization can Control Regularization in Neural Systems via Correlated Noise Processes NeurIPS 2012 Tensor Decomposition for Fast Parsing with Latent-Variable PCFGs NeurIPS 2012 The Bethe Partition Function of Log-supermodular Graphical Models NeurIPS 2012 The huge Package for High-dimensional Undirected Graph Estimation in R JMLR 2012 The Lovász ϑ function, SVMs and finding large dense subgraphs NeurIPS 2012 The representer theorem for Hilbert spaces: a necessary and sufficient condition NeurIPS 2012 There’s a Hole in My Data Space: Piecewise Predictors for Heterogeneous Learning Problems AISTATS 2012 The Time-Marginalized Coalescent Prior for Hierarchical Clustering NeurIPS 2012 The variational hierarchical EM algorithm for clustering hidden Markov models NeurIPS 2012 Time-Optimal Trajectory Generation for Path Following with Bounded Acceleration and Velocity RSS 2012 Topic-Partitioned Multinetwork Embeddings NeurIPS 2012 Topographic Analysis of Correlated Components ACML 2012 Topology Constraints in Graphical Models NeurIPS 2012 Towards a learning-theoretic analysis of spike-timing dependent plasticity NeurIPS 2012 Toward Understanding Complex Spaces: Graph Laplacians on Manifolds with Singularities and Boundaries COLT 2012 Training sparse natural image models with a fast Gibbs sampler of an extended state space NeurIPS 2012 Transductive Learning of Structural SVMs via Prior Knowledge Constraints AISTATS 2012 Transelliptical Component Analysis NeurIPS 2012 Transelliptical Graphical Models NeurIPS 2012 Transferring Expectations in Model-based Reinforcement Learning NeurIPS 2012 Universal Measurement Bounds for Structured Sparse Signal Recovery AISTATS 2012 Unsupervised Structure Discovery for Semantic Analysis of Audio NeurIPS 2012 Unsupervised SVMs: On the Complexity of the Furthest Hyperplane Problem COLT 2012 UPAL: Unbiased Pool Based Active Learning AISTATS 2012