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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)

Discriminative Topic Segmentation of Text and Speech AISTATS 2010 Divisive Normalization: Justification and Effectiveness as Efficient Coding Transform NeurIPS 2010 Dynamic Infinite Relational Model for Time-varying Relational Data Analysis NeurIPS 2010 Effects of Synaptic Weight Diffusion on Learning in Decision Making Networks NeurIPS 2010 Efficient algorithms for learning kernels from multiple similarity matrices with general convex loss functions NeurIPS 2010 Efficient and Robust Feature Selection via Joint ℓ2,1-Norms Minimization NeurIPS 2010 Efficient Collapsed Gibbs Sampling for Latent Dirichlet Allocation ACML 2010 Efficient Heuristics for Discriminative Structure Learning of Bayesian Network Classifiers JMLR 2010 Efficient Learning of Deep Boltzmann Machines AISTATS 2010 Efficient Multioutput Gaussian Processes through Variational Inducing Kernels AISTATS 2010 Efficient Optimization for Discriminative Latent Class Models NeurIPS 2010 Efficient Relational Learning with Hidden Variable Detection NeurIPS 2010 Ellipsoidal Support Vector Machines ACML 2010 Empirical Bernstein Boosting AISTATS 2010 Empirical Risk Minimization with Approximations of Probabilistic Grammars NeurIPS 2010 Energy Disaggregation via Discriminative Sparse Coding NeurIPS 2010 Error-Correcting Output Codes Library JMLR 2010 Estimating Spatial Layout of Rooms using Volumetric Reasoning about Objects and Surfaces NeurIPS 2010 Estimation of a Structural Vector Autoregression Model Using Non-Gaussianity JMLR 2010 Estimation of Rényi Entropy and Mutual Information Based on Generalized Nearest-Neighbor Graphs NeurIPS 2010 Evaluation of Rarity of Fingerprints in Forensics NeurIPS 2010 Evidence-Specific Structures for Rich Tractable CRFs NeurIPS 2010 Exact inference and learning for cumulative distribution functions on loopy graphs NeurIPS 2010 Exact learning curves for Gaussian process regression on large random graphs NeurIPS 2010 Exclusive Lasso for Multi-task Feature Selection AISTATS 2010