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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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Papers (including subtopics)

Diffusion Decision Making for Adaptive k-Nearest Neighbor Classification NeurIPS 2012 Dip-means: an incremental clustering method for estimating the number of clusters NeurIPS 2012 Discriminative Learning of Sum-Product Networks NeurIPS 2012 Discriminatively Trained Sparse Code Gradients for Contour Detection NeurIPS 2012 Discriminative Mixtures of Sparse Latent Fields for Risk Management AISTATS 2012 Distance Metric Learning with Eigenvalue Optimization JMLR 2012 Distance Preserving Embeddings for General n-Dimensional Manifolds COLT 2012 Divergences and Risks for Multiclass Experiments COLT 2012 Dual-Space Analysis of the Sparse Linear Model NeurIPS 2012 Dynamical And-Or Graph Learning for Object Shape Modeling and Detection NeurIPS 2012 Dynamic Pruning of Factor Graphs for Maximum Marginal Prediction NeurIPS 2012 Efficient and direct estimation of a neural subunit model for sensory coding NeurIPS 2012 Efficient Distributed Linear Classification Algorithms via the Alternating Direction Method of Multipliers AISTATS 2012 Efficient high dimensional maximum entropy modeling via symmetric partition functions NeurIPS 2012 Efficient Hypergraph Clustering AISTATS 2012 Efficient Methods for Robust Classification Under Uncertainty in Kernel Matrices JMLR 2012 Efficient Sampling for Bipartite Matching Problems NeurIPS 2012 Efficient Spike-Coding with Multiplicative Adaptation in a Spike Response Model NeurIPS 2012 Eliminating Spammers and Ranking Annotators for Crowdsourced Labeling Tasks JMLR 2012 Emergence of Object-Selective Features in Unsupervised Feature Learning NeurIPS 2012 Ensemble weighted kernel estimators for multivariate entropy estimation NeurIPS 2012 Entropy Estimations Using Correlated Symmetric Stable Random Projections NeurIPS 2012 Error bounds for Kernel Fisher Linear Discriminant in Gaussian Hilbert space AISTATS 2012 Estimation and Selection via Absolute Penalized Convex Minimization And Its Multistage Adaptive Applications JMLR 2012 Exact Recovery of Sparsely-Used Dictionaries COLT 2012