conftrace_

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

21

30

55

40

51

225

219

249

257

357

364

480

942

818

966

1,394

2,092

3,114

4,415

4,853

5,064

5,371

5,992

6,412

5,823

1,475

2000

'5

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'15

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Papers (including subtopics)

Dependent Dirichlet Process Spike Sorting NeurIPS 2008 Diffeomorphic Dimensionality Reduction NeurIPS 2008 Differentiable Sparse Coding NeurIPS 2008 Dimensionality Reduction for Data in Multiple Feature Representations NeurIPS 2008 DiscLDA: Discriminative Learning for Dimensionality Reduction and Classification NeurIPS 2008 Discriminative Learning of Max-Sum Classifiers JMLR 2008 Distributed Localization of Modular Robot Ensembles RSS 2008 Dynamic Hierarchical Markov Random Fields for Integrated Web Data Extraction JMLR 2008 Dynamic visual attention: searching for coding length increments NeurIPS 2008 Efficient Direct Density Ratio Estimation for Non-stationarity Adaptation and Outlier Detection NeurIPS 2008 Efficient Exact Inference in Planar Ising Models NeurIPS 2008 Efficient Sampling for Gaussian Process Inference using Control Variables NeurIPS 2008 Empirical performance maximization for linear rank statistics NeurIPS 2008 Estimating the Confidence Interval for Prediction Errors of Support Vector Machine Classifiers JMLR 2008 Estimating the Location and Orientation of Complex, Correlated Neural Activity using MEG NeurIPS 2008 Estimating vector fields using sparse basis field expansions NeurIPS 2008 Estimation of Information Theoretic Measures for Continuous Random Variables NeurIPS 2008 Evidence Contrary to the Statistical View of Boosting JMLR 2008 Exact Convex Confidence-Weighted Learning NeurIPS 2008 Exploring Large Feature Spaces with Hierarchical Multiple Kernel Learning NeurIPS 2008 Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks JMLR 2008 Extended Grassmann Kernels for Subspace-Based Learning NeurIPS 2008 Fast Computation of Posterior Mode in Multi-Level Hierarchical Models NeurIPS 2008 Fast High-dimensional Kernel Summations Using the Monte Carlo Multipole Method NeurIPS 2008 Fast Prediction on a Tree NeurIPS 2008